Manager of AI/ML Engineering - GenAI, RAG and MLops
Optum (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 30–50 LPA
Posted on 27 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and rollout of AI/ML and Generative AI solutions to solve business problems and enhance operations.
- Develop and manage enterprise ML Ops capabilities across the AI lifecycle including model training, deployment, monitoring, and governance.
- Provide engineering leadership to teams, ensuring technical excellence, mentoring, stakeholder coordination, and delivery transparency.
Minimum Requirements
- Bachelor's degree in Computer Science, AI, Data Science, Engineering, Mathematics, IT, or related field (or equivalent experience).
- Experience in AI/ML engineering, software or data engineering with hands-on delivery of Generative AI, LLM, AI Agent, or intelligent automation solutions.
- Working knowledge of RAG architectures, embeddings, vector databases, semantic search, and ML Ops practices (model deployment, versioning, monitoring, retraining).
- Experience working in Agile, Scrum, or product-centric delivery models.
Ideal Candidate Profile
- Experienced in integrating AI solutions with cloud platforms, APIs, databases, and enterprise applications using cloud-native deployment.
- Skilled in applying responsible AI, technical governance, security, and compliance standards to production AI applications.
- Proven ability to lead cross-functional teams, influence AI adoption at scale, and deliver measurable business value through AI innovation.