Senior AI/ML Engineer

Posted 10 Minutes Ago
Be an Early Applicant
Eden Prairie, MN, USA
In-Office
120K-215K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Design, develop, deploy, and operationalize enterprise AI solutions including LLM applications, RAG systems, intelligent agents, classification models, and decision-support tools. Build prompt strategies, evaluations, guardrails, monitoring, and governance practices to improve reliability, safety, performance, and cost efficiency. Partner with data engineering, security, privacy, compliance, architecture, and Responsible AI teams to deliver scalable production systems and continuously evaluate emerging AI technologies.
Summary Generated by Built In
Requisition Number: 2394706
Our Company
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, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
Position Summary
Are you passionate about applying AI to solve complex business challenges at enterprise scale? We are seeking a Senior AI/ML Engineer to design, build, and operationalize AI capabilities that drive decision-making, productivity, and innovation across the Enterprise Finance organization. In this role, you will lead the development of AI-powered solutions including large language model (LLM) applications, retrieval-augmented generation (RAG), intelligent agents, classification models, summarization workflows, and decision-support tools. You will partner closely with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver trusted, scalable, and governed AI solutions that align with enterprise AI/ML engineering practices and productization standards.
You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities
  • Design, develop, and deploy AI-powered solutions and architectures-including LLM workflows, prompt orchestration chains, agent-based solutions, RAG applications, and decision-support capabilities-to solve complex business challenges
  • Develop advanced prompt strategies, grounding approaches, tool-calling patterns, guardrails, and fallback mechanisms to improve solution quality, safety, and reliability
  • Partner with Data Engineering teams to establish and maintain seamless access to trusted, governed, and high-quality enterprise data sources
  • Establish robust evaluation frameworks, test datasets, scoring rubrics, and model-performance benchmarks across AI deliverables
  • Monitor and optimize output quality, relevance, accuracy, consistency, latency, cost efficiency, and hallucination risk in production systems
  • Conduct failure-mode analysis and implement continuous improvements to AI systems and automated workflows
  • Collaborate cross-functionally with Quality Engineering, Responsible AI, Security, Privacy, Compliance, and Enterprise Architecture teams
  • Document AI solution behaviors, limitations, risk controls, and operational monitoring requirements
  • Support production readiness through observability, system monitoring, model evaluation, and drift detection practices
  • Evaluate emerging AI trends, methodologies, and enterprise-approved tools to inform solution design, streamline workflows, and drive strategic 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.
Required Qualifications
  • 3+ years of experience in software engineering, machine learning, or AI engineering
  • 2+ years of experience with cloud-native architectures, APIs, and scalable software systems
  • 1+ years of hands-on experience building and deploying generative AI and LLM-based applications in production environments

Preferred Qualifications
  • Master's degree in Computer Science, Engineering, Data Science, or a related field
  • Experience supporting Finance, FP&A, Accounting, Treasury, Tax, or related enterprise corporate functions
  • 1+ years of experience developing and deploying agentic AI solutions
  • Familiarity with AI observability, model monitoring, vector databases, semantic search, and knowledge retrieval systems
  • Demonstrated experience taking enterprise AI products end-to-end from initial design through production support
  • 2+ years of experience with prompt engineering, RAG architectures, model evaluation, and operational AI governance
  • 1+ years of demonstrated experience implementing Responsible AI, data security, privacy, and compliance practices in technical solutions

*All Telecommuters 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 $120,100 to $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
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.
#RPO, #GREEN

Skills Required

  • 3+ years of experience in software engineering, machine learning, or AI engineering
  • 2+ years of experience with cloud-native architectures, APIs, and scalable software systems
  • 1+ years of hands-on experience building and deploying generative AI and LLM-based applications in production environments
  • Master's degree in Computer Science, Engineering, Data Science, or a related field
  • Experience supporting Finance, FP&A, Accounting, Treasury, Tax, or related enterprise corporate functions
  • 1+ years of experience developing and deploying agentic AI solutions
  • Familiarity with AI observability, model monitoring, vector databases, semantic search, and knowledge retrieval systems
  • Experience taking enterprise AI products end-to-end from initial design through production support
  • 2+ years of experience with prompt engineering, RAG architectures, model evaluation, and operational AI governance
  • 1+ years of experience implementing Responsible AI, data security, privacy, and compliance practices in technical solutions

What the Team is Saying

Optum Compensation & Benefits Highlights

  • Leave & Time Off Breadth — Paid time off is often regarded as generous, with meaningful accrual and flexibility to use it. While practices can vary by team, the overall time-off offering stands out as a relative strength.
  • Retirement Support — A 401(k) plan with employer matching is available and generally well-regarded for supporting long-term savings. It remains valuable, though candidates should verify the current match formula.
  • Parental & Family Support — Programs such as parental leave, family medical leave, and adoption assistance are included as notable elements of the total rewards package. These resources can meaningfully support work-life balance when applicable to the role and location.

Optum Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Eden Prairie, MN
160,000 Employees
Year Founded: 2011

What We Do

Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.

Gallery

Gallery
Gallery
Gallery

Optum Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.

Typical time on-site: Not Specified
HQEden Prairie, MN
Metro Manila, Philippines
Cebu, Philippines
Davao, Philippines
Ann Arbor, MI
Atlanta, GA
Baltimore, MD
Bengaluru, India
Chennai, India
Dallas, TX
Detroit, MI
Dublin, Ireland
Hartford, CT
Houston, TX
Hyderabad, India
Jacksonville, FL
Las Vegas, NV
Letterkenny, Ireland
Louisville, KY
Madison, WI
Minneapolis, MN
Nashville, TN
New Delhi, India
Philadelphia, PA
Phoenix, AZ
Pune, India
Raleigh, NC
San Diego, CA
Washington, DC
Learn more

Similar Jobs

Optum Logo Optum

Machine Learning Engineer

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Eden Prairie, MN, USA
160000 Employees
120K-215K Annually

Optum Logo Optum

Machine Learning Engineer

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Eden Prairie, MN, USA
160000 Employees
120K-215K Annually

Optum Logo Optum

Data Engineer

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office or Remote
Eden Prairie, MN, USA
160000 Employees
120K-215K Annually

Optum Logo Optum

Machine Learning Engineer

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office or Remote
Minnetonka, MN, USA
160000 Employees
120K-215K Annually

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account