Manager AI/ML Engineering
Optum (company site, opens in a new tab)10+ yrsGurugramOn-siteDirect career pageEst. 35–55 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and develop AI-driven, cloud-native applications and intelligent automation workflows using Python, SQL/NoSQL databases, and cloud platforms (Azure/GCP/AWS).
- Build, integrate, test, and deploy enterprise-grade GenAI, Agentic AI, LLM, and RAG-based solutions to improve operational accuracy and reduce manual effort.
- Collaborate with stakeholders and engineering teams to translate requirements into scalable, secure, production-ready solutions ensuring code quality, CI/CD, testing, and compliance with AI governance standards.
Minimum Requirements
- Graduate degree or equivalent experience.
- 10+ years overall professional experience in software engineering, cloud application development, automation, or AI solution delivery.
- 5+ years hands-on experience with .NET, Python, SQL, and enterprise application development.
- 4+ years hands-on experience delivering AI projects involving Agentic AI, LLM, GenAI, or RAG in production; experience with Azure and/or GCP cloud platforms.
Ideal Candidate Profile
- Experienced in full lifecycle delivery of enterprise AI/ML, automation, and cloud-native solutions with strong engineering fundamentals including APIs, microservices, and secure development.
- Proficient in using AI engineering tools like GitHub Copilot and AI frameworks such as LangGraph, LangChain, and knowledge of embedding/vector DB technologies.
- Able to operate effectively in large, complex organizations collaborating cross-functionally and ensuring compliance with enterprise AI governance and delivery standards.