As a Senior Data Scientist (SG 29), you will hands on design, build, and productionize Agentic AI and GenAI solutions on top of a Healthcare Core Data Platform. You will deliver reliable, compliant, and scalable AI systems that work across large healthcare datasets (claims/clinical/provider/member) and enable measurable improvements in quality, cost, and operational efficiency.
Primary Responsibilities
- Agentic AI & GenAI Delivery
- Design and implement agentic AI systems (multi step, tool using agents) that can plan, execute, and verify outcomes under defined guardrails for healthcare workflows
- Build GenAI solutions using enterprise approved LLMs including Claude 4.6 and OpenAI Codex (and equivalents) for:
- intelligent data exploration and analytics assistance
- automated insight generation and summarization
- engineering productivity accelerators (code generation, refactoring, test creation)
- workflow automation and triage support
- Develop hybrid systems combining LLMs with classical ML (predictive/prescriptive models)
for robust performance on healthcare use cases
- Core Data Platform Integration
- Implement AI solutions tightly integrated with the Core Data Platform (curated datasets, standardized semantics, governed access, reusable components)
- Partner with data engineering/platform teams to implement scalable patterns for:
- secure tool-calling and controlled data access
- retrieval / grounding patterns (enterprise search, knowledge bases, curated datasets)
- reusable agent skills and shared libraries
- Model / Agent Lifecycle Ownership
- Own end to end delivery: problem framing - data readiness - prototyping - evaluation - production deployment - monitoring and iteration
- Build and maintain evaluation frameworks for LLM and agent behavior (quality, hallucination risk, safety, latency, and cost)
- Implement drift and behavior monitoring for models and agents; create feedback loops and runbooks to maintain performance over time
- Ensure p
📌 Principal Data Scientist (Bengaluru)
🏢 Optum
📍 Bengaluru
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