Senior AI/ML Engineer at Optum, a global organization that delivers care and uses technology to help millions of people live healthier lives.

Company: Optum

Role: Senior AI/ML Engineer

Location: Bengaluru, Karnataka

12+ years of software engineering, AI engineering, platform engineering, or backend systems development experience
Experience implementing MLOps, LLMOps, and AI operational practices in enterprise environments
Experience building and deploying AI/ML solutions into production environments
Experience with monitoring, observability, reliability engineering, and production operations

Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or related field
Master's degree preferred

Design, develop, and operate enterprise AI systems supporting Machine Learning, Generative AI, Agentic AI, and intelligent automation workloads
Lead architecture and implementation of scalable backend systems enabling AI model serving, inference, orchestration, and enterprise integration
Design reusable AI services, APIs, microservices, and platform components that accelerate AI solution delivery
Develop AI systems that support both real-time and batch inference workloads with high availability and low latency
Translate business requirements into scalable, secure, and production-ready AI solutions

Collaborate with Applied Scientists, Data Scientists, Data Engineers, Platform Engineers, Security Teams, and Product Organizations
Establish engineering standards, best practices, architecture patterns, and operational guidelines
Mentor engineers and drive technical excellence across AI engineering teams
Stay current with emerging technologies across AI, GenAI, Agentic AI, cloud platforms, and backend engineering ecosystems

Experience building enterprise AI platforms supporting AI/ML, Generative AI, LLM, and Agentic AI workloads
Experience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or LlamaIndex
Experience deploying and managing open-source and commercial foundation models
Experience designing and implementing RAG architectures, vector retrieval systems, semantic search platforms, and enterprise knowledge solutions
Experience with Kafka, Spark, Databricks, Redis, Elasticsearch, or equivalent platform technologies

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