Senior AI ML Engineer

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Senior AI ML Engineer Hybrid in MN or Remote

Optum is focused on improving health outcomes on a global scale by connecting people with care, pharmacy benefits, data, and resources.

• Design, develop, and maintain AI agent-based automation for developer workflows.
• Build backend services and agents in C#/.NET for autonomous action execution.
• Integrate AI agents with Git Hub Apps and Git Hub Actions to automate developer workflows.
• Provision and manage infrastructure in Azure using Terraform; deploy and operate Kubernetes clusters (AKS) and containerized services with Docker.
• Implement OpenAI-based capabilities, including prompt design, guardrails, cost controls, and monitoring.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines using Elasticsearch.
• Lead AI model training activities, including data collection/labeling, fine-tuning or adaptation, versioning, evaluation, and integration with OpenAI or Azure OpenAI services.
• Drive observability and reliability for automation using tools like Prometheus, Grafana, and Application Insights; implement alerting and SLIs.
• Ensure security and compliance in automation.
• Collaborate with product, platform, and developer experience teams to translate requests into technical designs; contribute to architectural decisions and maintain comprehensive documentation.
• Deliver internal demos, provide technical leadership, perform code reviews, and mentor junior engineers.
• Stay current with AI/ML trends and cloud-native technologies.

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
• 3 years of professional software development experience with Java or Python or C# or JavaScript or
  
  C.
• 2 years of experience with Azure or AWS or GCP and Terraform for cloud infrastructure provisioning.
• 2 years of experience with Kubernetes and Docker.
• Experience with relational databases, including SQL Server or Postgre
  
  SQL, plus Elasticsearch for search/indexing.
• Experience with OpenAI or similar LLM APIs.
• Experience with AI model training pipelines.
• Knowledge of security best practices for cloud-native apps, secrets management, and data privacy.

• Certification in cloud or container technologies (e.g., Azure: AZ-204/AZ-400, Kubernetes CKAs/CKADs, Terraform Associate).
• Experience with Azure OpenAI Service or other OpenAI alternatives.
• Experience with observability and SRE practices, including distributed tracing and incident response.
• Experience contributing to developer tools or developer experience products.
• Git / Git Hub / Git Hub Apps experience.
• Proven excellent problem-solving, communication, and collaboration skills.

Salary Range: $89,900 to $160,600 annually

Seniority level:
Mid-Senior level |

Employment type:

Full-time | Job function:
Engineering and Information Technology | Industries:
Technology, Information and Internet.

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