AI Analyst

Essential Functions

Job duties may change over time and additional job functions may become essential.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


* Design, develop, deploy, and maintain AI-powered solutions tailored to manufacturing processes.


* Lead workflow automation projects using Agentic AI technologies to drive process efficiency and innovation.


* Architect and implement advanced LLM-based applications, including RAG and MCP integrations.


* Collaborate with cross-functional teams to identify AI opportunities and deliver actionable solutions.


* Oversee the deployment and lifecycle management of AI models and frameworks in production environments.


* Develop proof-of-concepts and pilot programs for new AI technologies relevant to manufacturing.


* Document best practices, workflows, technical architecture, and compliance requirements for all AI initiatives.


* Orchestrate data movement, transformation, and workflow automation in both hybrid and cloud environments.


* Designing, developing, deploying, and maintaining integration using microservices architecture.


* Mentor junior team members and serve as subject-matter expert in AI and automation.

Expected Areas of Competence (KSAs)


* Proven expertise in:
+ Large Language Models (LLM) deployment and fine-tuning
+ Autonomous Agents (A2A) for workflow automation
+ Modular Cognitive Processing (MCP) architectures and Retrieval-Augmented Generation (RAG) approaches
+ AI frameworks such as TensorFlow, PyTorch, LangChain, and Haystack
+ Agentic AI and agent-based orchestration in practical settings


* Strong programming skills in Python and Java


* Experience with API integrations


* Track record of end-to-end deployment of AI/ML solutions in production environments


* Experience with integration tools such as REST services, MuleSoft, and TIBCO


* Experience connecting diverse enterprise systems in the cloud


* Data integration experience with tools like Alteryx, Informatica, and Azure Data Factory (ADF)


* Knowledge of data quality management


* Familiarity with infrastructure as code, automation, and scripting for deployment and system management


* Experience with cloud service providers, primarily Azure and some AWS


* Excellent communication and project management skills

This position description is intended to cover the most significant, ongoing job functions and competency areas.  Successful performance in the role will require performing satisfactorily other duties as assigned. 

Education and Experience Requirements


* Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field


* Minimum of 10 years of hands-on experience in:
+ AI/ML
+ Cloud Integration
+ Data Integration
+ ...