AI/ML Engineer
unitedhealth groupMinnetonka (MN)
About the role
Overview:
As an AI/ML Engineer at Optum Technology, you design, build, and deploy GenAI and LLM-based AI capabilities to transform healthcare operations. You will deploy scalable Python APIs on Kubernetes, integrate semantic search, and advance responsible AI across enterprise data. You work with cross-functional teams to deliver impactful AI solutions that improve health outcomes. This role offers telecommuting within the U.S. and a path to growth in a mission-driven tech environment. Compensation / Benefits comprehensive benefits package equity stock purchase 401k contributions telecommuting options career development opportunities recognition programs
Responsibilities:
Design, develop, and validate ML models using GenAI and traditional ML on cloud platforms Build scalable Python APIs for model inference on Kubernetes with containerization Integrate semantic search to improve data accessibility for analytics Develop AI-powered solutions addressing complex business challenges with responsible AI focus Evaluate emerging tech trends to inform architecture and innovation Leverage enterprise AI tools to streamline workflows and automate tasks Use agentic coding and version control tools for collaboration Maintain coding standards, documentation, and performance monitoring across ML pipelines
Key requirements:
4+ years of software development, data engineering, or AI/ML experience 4+ years of Python experience with core data science libraries 3+ years applying ML techniques in a commercial enterprise 2+ years applying NLP or LLMs in production with large-scale data 1+ years building, deploying, and maintaining RESTful APIs for ML model inference Strong analytical and problem-solving abilities Effective written and verbal communication with diverse stakeholders Strong collaboration across teams GenAI and LLMs (transformers, RAG, embeddings) NLP and large-scale data processing Python for ML and data science
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.