Senior AI/ML Engineer — Generative AI for Healthcare

Optum; Eden Prairie (MN); Remote; USD 120,000 - 215,000; Full time

Job summary

Optum is hiring for an AI/ML engineer role focused on generative AI and NLP across enterprise use cases. You will design, fine-tune, and deploy LLM-based solutions, including RAG pipelines and agentic AI systems that operate with tool use and planning.

You will collaborate with data scientists, engineers, and product teams to translate requirements into scalable AI capabilities while upholding responsible AI governance and security practices.

Qualifications

• 5+ years of experience in machine learning, AI engineering, or applied data science including production ML systems.
• 5+ years of experience developing Python-based ML systems using PyTorch, TensorFlow, or Hugging Face.
• 3+ years of experience building Generative AI or LLM applications including prompt engineering, model fine tuning, and LLM API integrations.
• 2+ years of experience designing retrieval augmented generation (RAG) systems and vector search pipelines.
• 1+ years of experience building agentic AI systems including tool calling, planning frameworks, or multi agent workflows.
• 1+ years of experience using AI assisted development or 'vibe coding' tools such as Codex, Claude Code, Cursor, Windsurf, or similar tools.
• Healthcare Experience

Responsibilities

• Design and deploy generative AI and NLP solutions using transformer-based architectures for enterprise use cases such as search, summarization, extraction, conversational AI, and decision support
• Develop and fine-tune large language model (LLM) applications using commercial and open-source models such as OpenAI, Anthropic/Claude, Gemini, LLaMA, or Mistral
• Design and implement retrieval augmented generation (RAG) pipelines including document ingestion, chunking strategies, embedding generation, and vector database integration
• Build agentic AI systems including single agent and multi agent workflows capable of tool use, reasoning, planning, and autonomous task execution
• Implement evaluation and monitoring frameworks for generative AI systems including hallucination detection, bias monitoring, and human in the loop evaluation
• Develop safety and governance controls for AI systems including prompt hardening, policy enforcement, and responsible AI guardrails
• Productionize AI/ML pipelines using CI/CD, testing, monitoring, and observability best practices in cloud native environments
• Collaborate with product, platform, and data science teams to translate requirements into scalable AI solutions

Skills

Generative AI

NLP

LLM applications

Python ML systems

Retrieval augmented generation

Agentic AI systems

AI governance

CI/CD for ML

Tools

PyTorch

TensorFlow

Hugging Face

Job description

Optum is hiring for an AI/ML engineer role focused on generative AI and NLP across enterprise use cases. You will design, fine-tune, and deploy LLM-based solutions, including RAG pipelines and agentic AI systems that operate with tool use and planning.

You will collaborate with data scientists, engineers, and product teams to translate requirements into scalable AI capabilities while upholding responsible AI governance and security practices.