Senior AI/ML Engineer

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

• Lead design, development, and deployment of enterprise-scale AI/ML and Generative AI solutions
• Own end-to-end lifecycle: data preparation, modelling, deployment, and monitoring
• Build advanced Generative AI systems using LLMs, RAG, multi-agent workflows, and LangChain/LangGraph
• Establish and maintain MLOps pipelines with CI/CD, containerization, and model versioning across Azure, GCP, and AWS
• Drive evaluation and adoption of emerging AI/ML and GenAI tools and technologies
• Mentor and guide engineering teams on best practices and architecture
• Implement robust observability, monitoring, and alerting for production AI systems
• Collaborate with data science teams to operationalize research models
• Optimize AI/ML systems for performance, scalability, and cost efficiency

• Ensure compliance, security, and ethical standards in all AI/ML deployments

• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Graduate degree or equivalent experience
• Bachelor's or Master's in Computer Science, Machine Learning, or related field
• 10+ years in software engineering with 5+ years in AI/ML leadership roles
• Proven experience deploying and managing large-scale Generative AI and ML systems in production
• Hands-on experience with LangChain, LangGraph, and MLOps (CI/CD, Docker, Kubernetes)
• Expertise in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)
• Solid knowledge of LLMs, RAG, prompt engineering, and agentic AI workflows
• Deep understanding of cloud platforms (Azure, GCP, AWS) and their AI services
• Familiarity with monitoring tools and security/compliance in regulated domains
• Proven excellent leadership, communication, and mentoring skills

Preferred Qualification:

• Data science/statistical modelling experience