Design and Deliver AI Solutions- Design, develop, and deploy AI-powered solutions that solve business problems
Lead Technical Solution Architecture- Define AI solution architecture and engineering standards
Mentor and Influence Other Engineers- Coach software engineers on AI engineering best practices
From the employer’s posting
Primary Responsibilities:
Design and Deliver AI Solutions- Design, develop, and deploy AI-powered solutions that solve business problems
Build AI-enabled applications, automations, agents, and platforms that can operate at enterprise scale
Integrate AI capabilities into existing products and engineering workflows
Lead Technical Solution Architecture- Define AI solution architecture and engineering standards
Drive technical decisions for AI adoption across platforms and applications
Promote safe and responsible AI usage within the team
Mentor and Influence Other Engineers- Coach software engineers on AI engineering best practices
Share reusable patterns, prompt engineering techniques, and AI development frameworks
Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, Statistics, or a related technical field
Master's degree in AI, Machine Learning, Data Science, or related disciplines is often preferred for advanced AI roles.
Experience- Typically 5+ years of software engineering experience with significant hands-on development responsibilities
Experience taking solutions from proof of concept through enterprise production deployment
Qualification wording
Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, Statistics, or a related technical field
Master's degree in AI, Machine Learning, Data Science, or related disciplines is often preferred for advanced AI roles. (Preference varies by team.)
Experience- Typically 5+ years of software engineering experience with significant hands-on development responsibilities
Experience taking solutions from proof of concept through enterprise production deployment
Education & alternatives
- Graduate degree or equivalent experience
- Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, Statistics, or a related technical field
- Master's degree in AI, Machine Learning, Data Science, or related disciplines is often preferred for advanced AI roles. (Preference varies by team.)
- Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, Statistics, or a related technical field
- Master's degree in AI, Machine Learning, Data Science, or related disciplines is often preferred for advanced AI roles. (Preference varies by team.)
- Experience- Typically 5+ years of software engineering experience with significant hands-on development responsibilities
Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.
Applying through Radancy (TalentBrew)
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Yes. We’ve followed 4 other Senior AI/ML Engineer jobs there since April 2026. 2 came down, usually after about 19 days. 2 are still up.
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Apr 28Today
Large employers often post one title for several teams, so these can be separate openings.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
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.
Primary Responsibilities:
Design and Deliver AI Solutions
Design, develop, and deploy AI-powered solutions that solve business problems
Build AI-enabled applications, automations, agents, and platforms that can operate at enterprise scale
Integrate AI capabilities into existing products and engineering workflows
Lead Technical Solution Architecture
Define AI solution architecture and engineering standards
Drive technical decisions for AI adoption across platforms and applications
Ensure solutions are scalable, secure, reliable, and maintainable
Leverage GitHub Copilot, M365 Copilot, enterprise LLMs, and approved AI tools
Automate repetitive development activities such as coding, testing, documentation, and analysis
Drive productivity improvements across engineering teams
Build Responsible AI Solutions
Apply responsible AI principles, governance, security, privacy, and compliance controls
Evaluate AI outputs and risks before production deployment
Promote safe and responsible AI usage within the team
Mentor and Influence Other Engineers
Coach software engineers on AI engineering best practices
Share reusable patterns, prompt engineering techniques, and AI development frameworks
Help teams evolve from AI User to AI Builder maturity
Drive Innovation
Evaluate emerging AI technologies and industry trends
Prototype new capabilities and identify high-value use cases
Translate business opportunities into AI-enabled solutions
Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements
Required Qualifications:
Graduate degree or equivalent experience
Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, Statistics, or a related technical field
Master's degree in AI, Machine Learning, Data Science, or related disciplines is often preferred for advanced AI roles. (Preference varies by team.)
Experience
Typically 5+ years of software engineering experience with significant hands-on development responsibilities
Usually 2+ years of direct AI/ML, Generative AI, or data science experience building production solutions
Experience taking solutions from proof of concept through enterprise production deployment
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.