AI/ML Engineer - Python/genai/.net/c# - Remote - Remote Eligible

AI/ML Engineer

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. 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.NET, C#, 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.

Primary Responsibilities:

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

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

• Undergraduate degree or equivalent experience
• 3+ years of experience in Python programming
• 2+ years of software engineering and testing experience in C# /.Net programming language
• 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

Preferred Qualifications:

• 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

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.