Optum - Senior AI/ML Engineer

Job Responsibilities :

- Drive responsible use of AI/ML adoption across the team, driving innovative use of both Generative AI and traditional ML techniques.

- Design, develop, test, deploy, maintain, and continuously improve AI-powered software solutions to meet customer and business needs.

- Build responsible AI solutions and service components to support the Provider community, ensuring compliance with ethical and regulatory standards.

- Develop new features leveraging AI/ML, including Generative AI models, predictive analytics, and automation capabilities.

- Provide technical leadership for AI initiatives, including Chatbots and conversational AI solutions.

- Partner with product management, architects, and engineering leadership to deliver creative, scalable AI solutions for healthcare challenges.

- Drive alignment with enterprise AI strategies and ensure solutions meet business objectives and engineering best practices.

- Accountable for high-quality software deliverables and operational excellence.

- Mentor and train team members on AI/ML technologies, frameworks, and responsible AI practices.

- Collaborate with broader engineering teams to integrate AI into cloud modernization efforts and digital first initiatives.

- Exercise independent judgment to prioritize, plan, and manage AI-related activities and projects.

Qualifications :

- 7+ years of software engineering experience.

- 4+ years of hands-on experience building AI/ML solutions, including LLMs, Generative AI, and traditional ML models, Design, build, and deploy LLM powered solutions, including RAG pipelines, agentic workflows, decisioning agents, and orchestration layers.

- Design and build end to end AI services including backend APIs, orchestration services, and UI integrations for claims users and operations teams.

- Develop scalable backend services using Java (Spring Boot) and modern API frameworks.

- Build and integrate web applications using modern frontend frameworks (React or equivalent) where needed for AI driven user experiences.

- Architect cloud native solutions on AWS, leveraging services such as Lambda, ECS/EKS, S3, DynamoDB/RDS, OpenSearch, and event driven patterns.

- Strong experience with Chatbots, conversational AI, and NLP-based solutions.

- Strong knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations.

- Develop AI components leveraging AWS Bedrock, foundation models, embeddings, vector stores, and prompt engineering best practices, Strong experience, with deep backend expertise in Python, Java and REST/GraphQL APIs.

- Implement agent based architectures (AgentCore / agentic cloud patterns) to support complex claims workflows such as adjudication assistance, exception handling, and HITL (human in the loop) scenarios.

- Continuously evaluate model performance, hallucination risks, explainability, and operational metrics in production.

Preferred skills :

- Experience developing and deploying applications on AWS.

- Strong understanding of security, IAM, data protection, logging, monitoring, performance tuning, disaster recovery, and production operations.

- Prior experience modernizing legacy systems using AIenabled microservices.

Qualifications :

- B.Tech in Computer Science, Engineering, or related technical field (or equivalent experience).

- Experience in the healthcare industry.

- Full-stack engineering experience.

Healthcare domain exposure (preferred) :

- Experience with healthcare datasets (claims, eligibility, prior authorization, provider directories)

- Understanding of clinical or operational workflows (provider calls, documentation, adjudication steps)

- Awareness of healthcare data sensitivity and HIPAA like compliance expectations.

Education :

UG : Any Graduate