Optum Tech is a global leader in health care innovation, seeking a Senior AI/ML Engineer to drive the development and implementation of AI-based tools and workflows. The role involves collaborating with research, engineering, and product teams to translate AI advancements into production-ready capabilities while ensuring ethical AI practices.
Responsibilities:
- Design and implement AI systems for conversational search in medical content
- Evaluate, debug, and improve conversational AI to ensure accuracy and efficiency
- Monitor and optimize system performance for latency, cost, and reliability
- Explore and apply reinforcement learning and self-improving techniques
- Collaborate and communicate effectively with cross-functional teams and stakeholders to deliver scalable solutions
- Ensure responsible and ethical AI practices throughout all stages of development
- Stay up-to-date with advances in AI/ML and actively contribute ideas, research, or solutions to improve team and product capabilities
- Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities
- Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle
Requirements:
- Graduate degree in computer Science or similar fields
- 4+ years of hands-on experience in AI/ML, with a solid focus on natural language processing (NLP) and Language Models
- 3+ years of experience with libraries such as Langchain, OpenAI API, Hugging Face Transformers, or similar tools for finetuning and integrating LLMs
- Experience with agentic frameworks such as LangGraph, AutoGen, Bedrock, or Vertex AI, demonstrated by contributing to projects involving the design of modular and scalable AI agents
- Experience deploying agentic systems in production environments, ensuring scalability, reliability, and performance
- Experience with RL training for language models
- Experience working on collaborative software projects using GitHub
- Proven ability to engage in AI/ML research, evidenced by peer-reviewed publications or technical reports, and by incorporating recent advances in NLP and agentic frameworks into product-led projects