AI/ML Engineer

UnitedHealth Group•Minnetonka, MN

1d•$98,500 - $176,000•Remote

About The Position

As an AI/ML Engineer, you will join our innovative technology team at Optum Technology to design, build, and deploy cutting-edge artificial intelligence and machine learning capabilities that transform healthcare operations. In this role, you will develop scalable GenAI models, Large Language Model (LLM) applications, agentic frameworks, and robust Python inference APIs deployed on Kubernetes infrastructure. Working in a fast-paced, collaborative environment, you will leverage modern developer tools and semantic search capabilities to deliver highly accessible, impactful AI solutions across enterprise healthcare data. You’ll enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.

Requirements

4+ years of software development, data engineering, or AI/ML experience
4+ years of professional experience in Python using core data science and machine learning libraries (e.g., scikit-learn, Databricks)
3+ years of experience applying machine learning techniques in a commercial enterprise, including supervised/unsupervised learning, time-series forecasting, or statistical analysis
2+ years of experience applying NLP (transformers, GPT) or LLMs (RAG, vector databases, embeddings) in a production setting with large-scale datasets
1+ years of experience building, deploying, and maintaining RESTful APIs for machine learning model inference

Nice To Haves

Bachelor's degree or equivalent experience
Strong analytical, quantitative, problem-solving, and critical thinking skills
Strong written and verbal communication skills, including the ability to present detailed technical analyses to diverse technical and business stakeholders
Experience with vision and speech models in GenAI (multimodal architectures)
Background in healthcare data analytics (e.g., claims, eligibility, enrollment) and working within regulated compliance environments
Hands-on experience with containerization and container orchestration technologies such as Docker and Kubernetes
Experience utilizing AI-assisted developer and coding tools to accelerate software production and technical documentation
Demonstrated familiarity with agentic frameworks, Model Context Protocol (MCP), and Agent-to-Agent (A2A) architectures

Responsibilities

Design, develop, and validate machine learning models using GenAI (LLMs, agentic frameworks) and traditional ML techniques on cloud platforms
Write and deploy scalable Python APIs for model inference running on Kubernetes, ensuring efficient containerization and orchestration of agentic flows
Implement and integrate semantic search capabilities to enhance data accessibility and retrieval for analytics and business intelligence
Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI
Evaluate emerging technology trends and best practices to inform solution design, architecture, and strategic innovation
Leverage enterprise-approved AI tools to streamline developer workflows, automate tasks, and drive continuous software delivery improvement
Utilize agentic coding and version control tools (e.g., GitHub Copilot, Claude) for efficient code creation, repository management, and technical collaboration
Maintain rigorous coding standards, thorough documentation, and effective performance monitoring across all deployed AI/ML pipelines