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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
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Type: Permanent Location: Las Vegas, US-NV
Salary / Rate: Not Specified
Posted: 2025-07-12 08:43:12
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
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Type: Permanent Location: Springfield, US-MO
Salary / Rate: Not Specified
Posted: 2025-07-12 08:43:11
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
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Type: Permanent Location: Bozeman, US-MT
Salary / Rate: Not Specified
Posted: 2025-07-12 08:43:09
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
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Type: Permanent Location: St. Louis, US-MO
Salary / Rate: Not Specified
Posted: 2025-07-12 08:43:08
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
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Type: Permanent Location: Billings, US-MT
Salary / Rate: Not Specified
Posted: 2025-07-12 08:43:07
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
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Type: Permanent Location: Kansas City, US-MO
Salary / Rate: Not Specified
Posted: 2025-07-12 08:43:06
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
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Type: Permanent Location: Tupelo, US-MS
Salary / Rate: Not Specified
Posted: 2025-07-12 08:43:05
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
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Type: Permanent Location: Missoula, US-MT
Salary / Rate: Not Specified
Posted: 2025-07-12 08:43:05
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
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Type: Permanent Location: Duluth, US-MN
Salary / Rate: Not Specified
Posted: 2025-07-12 08:43:04
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
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Type: Permanent Location: Grand Rapids, US-MI
Salary / Rate: Not Specified
Posted: 2025-07-12 08:43:03
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
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Type: Permanent Location: Hattiesburg, US-MS
Salary / Rate: Not Specified
Posted: 2025-07-12 08:43:03
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
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Type: Permanent Location: Jackson, US-MS
Salary / Rate: Not Specified
Posted: 2025-07-12 08:43:02
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
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Type: Permanent Location: Detroit, US-MI
Salary / Rate: Not Specified
Posted: 2025-07-12 08:43:00
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
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Type: Permanent Location: Minneapolis, US-MN
Salary / Rate: Not Specified
Posted: 2025-07-12 08:43:00
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
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Type: Permanent Location: Aberdeen, US-MD
Salary / Rate: Not Specified
Posted: 2025-07-12 08:42:59
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
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Type: Permanent Location: Baltimore, US-MD
Salary / Rate: Not Specified
Posted: 2025-07-12 08:42:57
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
...
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Type: Permanent Location: Boston, US-MA
Salary / Rate: Not Specified
Posted: 2025-07-12 08:42:57
-
Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
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Type: Permanent Location: Marquette, US-MI
Salary / Rate: Not Specified
Posted: 2025-07-12 08:42:55
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
...
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Type: Permanent Location: Bangor, US-ME
Salary / Rate: Not Specified
Posted: 2025-07-12 08:42:54
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
...
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Type: Permanent Location: Springfield, US-MA
Salary / Rate: Not Specified
Posted: 2025-07-12 08:42:54
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
...
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Type: Permanent Location: Baton Rouge, US-LA
Salary / Rate: Not Specified
Posted: 2025-07-12 08:42:52
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
...
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Type: Permanent Location: New Orleans, US-LA
Salary / Rate: Not Specified
Posted: 2025-07-12 08:42:51
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
...
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Type: Permanent Location: Portland, US-ME
Salary / Rate: Not Specified
Posted: 2025-07-12 08:42:51
-
Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
...
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Type: Permanent Location: Shreveport, US-LA
Salary / Rate: Not Specified
Posted: 2025-07-12 08:42:50
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Description & Requirements
As an Associate Solutions Engineer, you'll accelerate the design, development, and deployment of scalable technical solutions and repeatable capabilities for external customers.
You'll collaborate with engineering, business development, and UX teams to translate complex customer requirements into robust solutions-leveraging programming skills, AI tooling (with emphasis on conversational AI), Infrastructure-as-Code, and AWS/cloud services.
This entry-level position is perfect for a recent graduate eager to build hands-on expertise in solution design, cloud infrastructure, and customer-facing technical delivery.
Essential Duties and Responsibilities:
- Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations.
- Develop and maintain technical integrations between solutions and Maximus technologies such as CRM, ITSM, and data reporting systems.
- Create comprehensive technical documentation, deployment guides, infrastructure-as-code templates and conduct internal training sessions on implemented solutions.
- Collaborate with internal and external stakeholders to gather requirements, present solution designs, and provide ongoing technical support.
- Research emerging customer experience and conversational AI technologies, evaluate new tools and platforms, upskill on emerging customer experience innovations, and contribute to continued improvement of Maximus solutions offerings.
• Partner with external customers and internal stakeholders to gather requirements, analyze workflows, and architect technical solutions using cloud services-leveraging Infrastructure-as-Code (Terraform) to create repeatable, scalable deployments across various solution types including conversational AI systems.
• Design and build conversational flows using platforms like Amazon Connect Flow Designer, implementing DTMF handling, speech triggers, and error/retry logic while creating reusable flow components that can be version-controlled and deployed across customer environments.
• Develop middleware services and API integrations to connect conversational AI platforms with customer CRM systems (Salesforce, ServiceNow, Dynamics 365)
• Configure and optimize AI/ML services including intent recognition, entity extraction, and LLM orchestration
• Design and maintain conversational AI components including dialogue management, SSML configurations for text-to-speech, and ASR parameter tuning for optimal speech recognition across diverse accents and environments.
• Produce clear technical documentation-architecture diagrams, API specifications, deployment guides, and training materials-while presenting solution designs to customers and conducting knowledge transfer sessions.
• Collaborate with DevOps teams to implement monitoring, logging, and alerting for deployed solutions; participate in troubleshooting and root cause analysis for production issues.
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Type: Permanent Location: Bowling Green, US-KY
Salary / Rate: Not Specified
Posted: 2025-07-12 08:42:49
