AI/ML Engineer - Python / Agentic AI - Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group•Minnetonka, MN

25d•Hybrid

About The Position

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. We are seeking an AI/ML Engineer with deep expertise in Generative AI technologies to develop and deploy cutting-edge solutions within the Optum Care Strategic Platform (Facets). The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and frameworks such as LangGraph and LangChain. Strong proficiency in Python along with Software Engineering background using SQL and API development are essential. This role will involve close collaboration with Claims Operations. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Requirements

Undergraduate degree or equivalent experience
3+ years of experience in Python programming
2+ years of experience with build, Deploying and manage ML models on cloud platforms such as Microsoft Azure or any other Cloud platform
2+ years of Database Design/Programming
1+ years of Terraform scripts understanding
1+ years of Git action and CI/CD experience needed

Nice To Haves

2+ years of software engineering and testing experience in C# / .Net programming language
Healthcare Claims EDI Experience
Prompt engineering experience
Experience leveraging Large Language Models (LLMs)
Experience working with various AI/ML infrastructure, tools and platforms across the full stack of AI/ML technology
Experience with the challenges of delivering and monitoring LLM based cloud systems into production
Proven solid communication skills with the ability to explain complex technical concepts to diverse audiences

Responsibilities

Be able to understand the Facets Delivery, Client priority and requirements
Proven Good in adapting & adopting new technology footprints to optimize business solutions using AI Adoption
Apply a solid understanding of Agentic AI concepts and frameworks such as LangGraph and LangChain to design and implement intelligent, autonomous systems
Utilize expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Transformer architectures to build scalable and high-performing AI solutions
Develop sophisticated generative AI algorithms and models to create new data samples, patterns, or content based on existing datasets and user inputs
Build and maintain robust APIs using frameworks such as FastAPI to enable seamless integration of AI services
Develop secure, maintainable software using SQL and modern engineering patterns
Deploy AI/ML solutions in production environments, preferably on cloud platforms like Azure
Implement machine learning and natural language processing projects from concept to production
Conduct rigorous model testing, validation, and performance optimization
Containerize AI/ML projects and implement CI/CD pipelines using tools like GitHub Actions
Collaborate with stakeholders to preprocess, analyze, and interpret large-scale datasets
Stay current with emerging trends and advancements in generative AI and ML technologies
Mentor and lead other engineers to reach their potential
Ensure code quality and security by identifying and resolving vulnerabilities
Maintain solid programming practices and standards
Provide timely updates on tasks to reporting supervisor
Adherence to the defined SLA Compliance etc
Provide support and leadership in critical production support issue resolution
Participate in on-call rotations as scheduled
Work with team to achieve timely resolution of all production issues meeting or exceeding Service Level Agreements