Senior AI/ML Engineer- Python, Databricks, LLM, Azure
Optum (company site, opens in a new tab)GurugramOn-siteDirect career pageEst. 28–45 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and productionize LLM-based agents and AI/ML pipelines on Databricks for healthcare data, focusing on Role-based Provider 360, Patient 360, Clinic 360 surfaces.
- Own model evaluation, prompt versioning, and deploy/monitor models in production on Azure with CI/CD including model, data, and prompt versioning.
- Partner with governance bodies to manage risk, support pilot rollouts, and communicate technical tradeoffs to executive stakeholders including CIO-level presentations.
Minimum Requirements
- Graduate degree or equivalent experience.
- Hands-on experience building and deploying LLM-based agents with multi-tool orchestration, including RAG and vector search systems.
- Proven solid production-grade Python and SQL skills with Databricks fluency (Delta Lake, Unity Catalog, Genie spaces, AI functions).
- Experience in cloud model deployment and monitoring on Azure, including CI/CD for ML pipelines with data and prompt versioning.
Ideal Candidate Profile
- Experienced in governed healthcare data environments, particularly with data-product/Gol-layer design and compliance.
- Strong operational focus on systematic testing, versioning, and productionizing AI/ML models, especially LLM prompt engineering and evaluation.
- Capable of translating complex AI/ML technical trade-offs to non-technical and executive audiences, demonstrating governance-minded judgment and risk awareness.