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.

Design, develop, and optimise AI-powered analytics solutions leveraging Large Language Models (LLMs), semantic layers, and agent-based architectures. This role focuses on enabling natural-language interactions with enterprise data through robust semantic modelling, AI orchestration, and evaluation frameworks while ensuring accurate, explainable, and trustworthy AI outcomes.

Primary Responsibilities

• Build and optimise semantic models, curated query sets,



and business metadata layers to improve Natural Language-to-SQL accuracy and analytics experiences
• Design, develop, and orchestrate LLM-powered agents, including tool calling, workflow orchestration, and custom analytical tools
• Implement RAG (Retrieval Augmented Generation) patterns to improve grounding, relevance, and response quality
• Develop frameworks to evaluate AI systems for accuracy, groundedness, explainability, latency, and hallucination detection
• Design prompt engineering strategies, testing methodologies, and tuning approaches to maximise model effectiveness
• Work closely with Data Engineering and Product teams to integrate AI solutions with Snowflake, semantic models, and enterprise data platforms
• Develop reusable AI services, APIs, utilities, and evaluation pipelines using Python and up-to-date AI frameworks
• Support governance and responsible AI practices, including traceability, transparency, and model performance m

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