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

About the role

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).

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
• Adhere to the defined SLA Compliance etc
• Provide support and leadership in critical production support issue resolution
• Participate in on-call rotations as scheduled

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

Preferred Qualifications

• 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

Benefits

We offer 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.