Senior AI/ML Engineer
UnitedHealth Group
- Location
- Minnetonka, MN
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 91,700–163,700/yr
Posted 24d ago
Job Description - Senior AI/ML Engineer - Remote (2372481)Go to the main content section.
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Improve the lives of others while Caring. Connecting. Growing together.
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Job Description - Senior AI/ML Engineer - Remote (2372481)
Job Description
Senior AI/ML Engineer - Remote-2372481
Description
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.
In support of AI 10.0 Scaling and leveraging AI to apply processing rules directly from source documentation via enterprise assets, we’re adding resources to our Claim Edit Hub team. This team will work to derive rules/edits directly from source documents (i.e. Policies) and expose them via Agentic workflow to make them accessible in a real time manner. This will also support our “shift left” strategy to enable claim edits/rules to be executed on Trial Claims to provide transparent cost estimates to Providers and Members.
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
- Design, develop, and deploy scalable AI/ML models and automation solutions to solve complex business problems
- Build and maintain end-to-end ML pipelines including data ingestion, feature engineering, model training, and deployment
- Develop automation frameworks for model training, testing, validation, and monitoring (MLOps)
- Collaborate with data science, engineering, product, and business teams to deliver AI-driven solutions
- Optimize model performance through continuous evaluation, tuning, and retraining strategies
- Ensure scalability, reliability, and governance of AI models including compliance and data integrity
- Integrate AI/ML solutions into production systems using CI/CD and cloud platforms
- Stay updated with emerging AI/ML technologies and automation best practices to drive innovation
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.
Qualifications
Required Qualifications
- Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical field
- 8+ years of software engineering, AI engineering, or machine learning engineering experience
- 5+ years of strong Python development experience supporting AI and data-intensive applications
- 4+ years of hands-on experience developing AI/ML solutions, including Generative AI, LLMs, NLP, and traditional machine learning models
- 3+ years of experience designing, building, and deploying production-grade LLM applications, RAG pipelines, AI agents, and orchestration workflows
- 3+ years of experience with AWS AI and cloud-native services including Bedrock, SageMaker, Lambda, OpenSearch, ECS/EKS, and S3
- 2+ years of experience with vector databases, embeddings, semantic search, and enterprise knowledge retrieval systems
- 2+ years of experience implementing MLOps, LLMOps, model monitoring, evaluation frameworks, and AI operationalization practices
Preferred Qualifications
- 2+ years of hands-on experience with Agentic AI frameworks such as LangGraph, Semantic Kernel, CrewAI, AutoGen, MCP, or AgentCore
- Experience implementing multi-agent architectures and autonomous workflow orchestration
- Experience with AI evaluation frameworks, hallucination reduction techniques, model benchmarking, and prompt optimization
- Familiarity with Knowledge Graphs, Ontologies, GraphRAG, and enterprise knowledge systems.
- Experience building reusable AI platform services supporting multiple use cases
- Experience implementing Retrieval-Augmented Generation (RAG), prompt engineering, semantic search, and knowledge retrieval systems
*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 $91,700 to $163,700 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.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
#OptumTechPJ
Job
AI/ML Engineering
Primary Location
US-MN-Minnetonka
Organization
UHC Operations and Experience
Schedule
Full-time
Number of Openings
2
Social Responsibility
×
- At UnitedHealth Group, we are committed to giving back to the communities where we live and work, across the nation and around the world. Through charitable contributions and volunteering, our people are deeply and personally involved in building healthier communities.
- Learn how we are giving back to our communities
- We embrace and encourage a culture of diversity and inclusion. We know that valuing diversity makes good business sense and helps to ensure our future success.
- Learn more about our culture of Inclusion & Diversity
Fraudulent Activity
×
- We have received recent reports of fraudulent LinkedIn messages and emails alleging or claiming to be sent from UnitedHealth Group, UnitedHealthcare, or Optum Executives.
The fraudulent LinkedIn messages and emails, which do not originate from any Executives LinkedIn account or of UnitedHealth Group’s email domains, or those of any of its operating divisions, supposedly conducts an interview via a Zoom meeting, offer a work from home job at Optum, emails an application, sends a fake check by next day delivery through USPS and asks recipients to pay a vendor a large dollar amount. These counterfeit-check cashing schemes exist and use a variety of deceptions to get people to cash these fraudelent checks.
UnitedHealth Group will never request you to pay a vendor or pay a fee of any sort to explore employment opportunities with our company.
If you wish to verify the legitimacy of any email alleging or claiming to have been sent by or on behalf of UnitedHealth Group Execuitives or Recruiters, please call 1-800-561-0861 between 7 a.m. and 7 p.m. CT, Monday - Friday, for assistance.
Privacy PolicyFamily & Medical Leave Act (PDF)Equal Employment Law Poster (PDF)Pay Transparency Employee Polygraph Protection Act (PDF)E-Verify Participation PosterImmigrant and Employee Right to Work Poster
© 2023 UnitedHealth Group, All rights reserved.
UnitedHealth Group is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need special assistance or accommodation for any part of the application process, please call 1-866-566-8715 to be connected to Recruitment Services. Recruitment Services hours of operation are 7 a.m. to 7 p.m. CT, Monday through Friday.
UnitedHealth Group is a registered service mark of UnitedHealth Group, Inc. The UnitedHealth Group name with the dimensional logo, as well as the dimensional logo alone, are both service marks for the UnitedHealth Group, Inc.
Diversity creates a healthier atmosphere
UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
Top
Skills
- Python
- Generative AI
- LLMs
- NLP
- Machine Learning
- AWS Bedrock
- AWS SageMaker
- AWS Lambda
- AWS OpenSearch
- AWS ECS
- AWS EKS
- AWS S3
- Vector Databases
- Embeddings
- Semantic Search
- MLOps
- LLMOps
- LangGraph
- Semantic Kernel
- CrewAI
- AutoGen
- MCP
- AgentCore
- Knowledge Graphs
- Ontologies
- GraphRAG
- RAG
- Prompt Engineering
- CI/CD
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