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 advantages, 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.

The Sr AI/ML Engineer (SG28) will design, develop, and operationalize AI/ML, Generative AI, LLM, and Agentic AI solutions that drive intelligent automation and business value. The role requires strong expertise in PySpark, Scala Spark, Azure Cloud, and modern AI/ML technologies to build scalable batch, streaming, and cloud-native data platforms.

The engineer will collaborate with data science, architecture, and business teams to deliver enterprise AI solutions, implement MLOps best practices,



and ensure the reliability, scalability, and governance of AI applications. Additionally, they will contribute to AI strategy, data platform architecture, automation frameworks, and continuous innovation across the enterprise data ecosystem.

Primary Responsibilities

Partner with Data Science and AI/ML teams to design, develop, and deploy machine learning, Generative AI, and Agentic AI solutions that drive predictive analytics, automation, and business value
Build and operationalize LLM-powered applications, including RAG frameworks, AI agents, prompt engineering, orchestration workflows, and contextual data enrichment
Deploy, monitor, and govern AI/ML models using Azure ML, Databricks ML, Azure AI Search, and modern MLOps practices
Integrate AI/ML and LLM capabilities into enterprise data platforms, ensuring scalability, security, compliance, and responsible AI practices
Design and develop scalable A

📌 Senior AI/ML Engineer (Hyderabad)
🏢 Optum India
📍 Hyderabad