AIOps Engineer - Vice President

At CDAO (Chief Data Analytics Office), we drive our firm's strategic investments in AI/ML and data-oriented tools and capabilities.

Our Platform Engineering team is at the forefront of building innovative platforms, automating infrastructure operations, and enabling Agentic-based AIOps platforms.

Our mission is to enhance scalability, security, and reliability for CDAO-hosted managed services.

As an AIOps Platform Engineer within our platform operations team, you will be tasked with the design, construction, and maintenance of our AIOps solution.

This role demands a profound knowledge of AI/ML technologies, IT infrastructure, and platform engineering.

Job Responsibilities:


* Design and implement a robust AIOps platform to support the AI/ML and Data organization's operational needs


* Collaborate with data scientists, machine learning engineers, and platform operations teams to integrate AI/ML agents into the platform


* Develop and maintain data pipelines and workflows to ensure efficient data collection, processing, and analysis to provide actionable intelligence for agents.


* Implement monitoring and alerting systems to ensure the platform's reliability, availability, and performance


* Automate routine tasks and processes to enhance operational efficiency and reduce manual intervention


* Troubleshoot and resolve platform-related issues, ensuring minimal impact on AI/ML operations


* Stay current with industry trends and advancements in AIOps, AI/ML, and data engineering


* Develop and deploy agentic systems and agents to automate routine tasks and processes, enhancing operational efficiency

Required qualifications, capabilities and skills:


* Bachelor's degree in Computer Science, Mathematics, or a related field


* Proven experience in platform engineering, with a focus on AI/ML technologies and data operations


* Strong programming skills in languages such as Python, Java, or Scala


* Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes)


* Familiarity with data processing frameworks (e.g., Apache Kafka, Apache Spark) and IT monitoring tools (e.g., Prometheus, Grafana, Datadog)


* Knowledge of machine learning algorithms and data analysis techniques.


* Experience working with agentic systems and agents for automation


* Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment


* Strong communication and interpersonal skills

Preferred qualifications, capabilities and skills:


* Master's degree in a related field


* Certifications in cloud computing, AI/ML, or data engineering (e.g., AWS Certified Machine Learning, Google Professional Data Engineer)


* Experience with DevOps practices and CI/CD pipelines

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