JobHabor

Sr. AI/ML Engineer- Digital and Consumer

Location
US
Workplace
Remote
Employment
Full Time
Salary
USD 120,100–214,500/yr
Apply on the employer’s site

Posted 15d ago

Job Description - Sr. AI/ML Engineer- Digital and Consumer - Remote (2387305)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 - Sr. AI/ML Engineer- Digital and Consumer - Remote (2387305)

Job Description

Sr. AI/ML Engineer- Digital and Consumer - Remote-2387305

Description

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.

The Chief Digital Office Consumer Engineering team is seeking a Senior AI/ML Engineer to own and advance the intelligence layer of our consumer-facing solutions. In this role, you will design, build, evaluate, and continuously improve AI components, including LLM workflows, RAG pipelines, agentic behaviors, classifiers, summarizers, copilots, and AI evaluation frameworks. Our team's mission is to create innovative digital capabilities that directly impact millions of consumers while ensuring that every AI solution is useful, measurable, safe, transparent, and fit for enterprise execution.

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 AI-powered solutions, LLM workflows, prompt chains, agents, RAG patterns, model integrations, classification models, and decision-support tools to address complex business challenges
  • Develop prompt strategies, tool-calling patterns, grounding techniques, guardrails, and fallback behaviors with an emphasis on responsible AI practices
  • Partner with Data Engineering to ensure AI components have access to trusted, appropriate, and governed data sources
  • Build and maintain evaluation datasets, scoring rubrics, model-performance tests, and failure-mode analysis tools
  • Monitor and continuously improve output quality, hallucination risk, relevance, accuracy, consistency, latency, and operational cost in production environments
  • Partner with Quality Assurance, Responsible AI, Security, Privacy, Compliance, and Architecture teams to ensure AI solutions are safe and enterprise-ready
  • Document model behavior, known limitations, risk controls, and operational monitoring needs, while supporting production readiness, model observability, and drift monitoring
  • Evaluate emerging trends and leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous 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.

Qualifications

Required Qualifications

  • 5+ years of engineering experience with strong technical proficiency in Python or equivalent programming language
  • Practical experience building and deploying AI-enabled applications in enterprise settings, including hands-on experience with LLMs, RAG, embeddings, vector search, prompt engineering, and agent frameworks
  • Demonstrated experience working with model APIs, orchestration frameworks, data pipelines, and evaluation tooling
  • Proven ability to design AI workflows that are explainable, testable, governable, and safe
  • Solid understanding of model limitations, hallucination risks, bias/fairness concerns, and responsible AI frameworks

Preferred Qualifications

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Machine Learning, or related technical discipline
  • Solid background in Data Science, Machine Learning Engineering, Applied Science, or Full-Stack Engineering with AI specialization
  • Practical experience with statistical modeling, data analysis, controlled testing, model evaluation frameworks, and production AI monitoring tools
  • Proven experience scaling LLM applications and data science solutions within large enterprise environments

*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 $120,100 to $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.

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-Eden Prairie

Organization

Consumer Engineering

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
  • LLMs
  • RAG
  • embeddings
  • vector search
  • prompt engineering
  • agent frameworks
  • model APIs
  • orchestration frameworks
  • data pipelines
  • evaluation tooling
  • statistical modeling
  • data analysis
  • model evaluation frameworks
  • AI monitoring tools

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