The Role
Lead development, deployment, and optimization of AI/ML models and enterprise applications; manage and mentor engineering teams; translate research into scalable production solutions; drive platform modernization, integration, and measurable business outcomes; champion responsible AI practices and stakeholder communication.
Summary Generated by Built In
Requisition Number: 2373801
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:
Required Qualifications:
Preferred Qualifications:
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.
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:
- Lead the development, deployment, and optimization of artificial intelligence and machine learning models and enterprise application solutions in production
- Drive end-to-end delivery across artificial intelligence initiatives and broader engineering workstreams, including platform modernization, application development, and integration
- Apply advanced artificial intelligence and machine learning techniques, including natural language processing, natural language understanding, semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition
- Translate experimental research and analytical insights into scalable, secure, and production-ready enterprise solutions
- Provide leadership, mentoring, and performance accountability for engineering managers and senior-level professional staff across artificial intelligence, machine learning, and traditional software development teams
- Partner with product, business, and technology leaders to align artificial intelligence and non-artificial intelligence engineering initiatives with measurable business outcomes
- Communicate complex technical, analytical, and artificial intelligence-driven insights clearly to leadership and non-technical stakeholders
- Strategically use artificial intelligence technologies to solve business problems, unlock new platform capabilities, and deliver tangible business value
- Champion artificial intelligence as a core driver of the team's success, proactively shaping how artificial intelligence is developed, deployed, and responsibly used with transparency, fairness, and accountability
- Integrate enterprise artificial intelligence tools, establish artificial intelligence development goals in team plans, and align hiring with evolving artificial intelligence competencies to actively remove barriers to adoption
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
- Undergraduate degree or equivalent experience, such as a bachelor's degree or 4+ years of software or artificial intelligence engineering experience
- 8+ years of professional experience in software engineering and enterprise application delivery
- 3+ years of experience directly leading and managing engineering teams, including software engineers, artificial intelligence and machine learning engineers, or technical managers
- Hands-on engineering experience with backend .NET / .NET Core services and Angular front-end frameworks
- Hands-on experience developing, integrating, and deploying artificial intelligence and machine learning solutions, such as natural language processing, natural language understanding, or deep learning, into a production environment
- Experience working with relational databases, including MySQL, and version control or collaborative continuous integration and continuous delivery workflows using GitHub
- Experience working with large-scale computing frameworks and enterprise data systems
Preferred Qualifications:
- Advanced degree, such as a master's degree or doctorate, in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related quantitative field
- Experience with advanced artificial intelligence technologies, such as computer vision, automatic speech recognition, and semantic modeling
- Solid experience driving platform modernization and engineering best practices within healthcare or complex software ecosystems
- Proven track record of translating research findings into large-scale, production-ready enterprise solutions
- Proven exceptional communication, negotiation, and stakeholder management skills
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.
Skills Required
- Undergraduate degree or equivalent experience (bachelor's degree or 4+ years of software or AI engineering experience)
- 8+ years professional experience in software engineering and enterprise application delivery
- 3+ years directly leading and managing engineering teams
- Hands-on engineering experience with backend .NET / .NET Core services and Angular front-end frameworks
- Hands-on experience developing, integrating, and deploying AI/ML solutions (NLP, NLU, deep learning) into production
- Experience working with relational databases, including MySQL
- Experience with version control and collaborative CI/CD workflows using GitHub
- Experience working with large-scale computing frameworks and enterprise data systems
- Advanced degree (MS/PhD) in CS, Data Science, AI/ML or related quantitative field
- Experience with computer vision, automatic speech recognition, and semantic modeling
- Experience driving platform modernization and engineering best practices within healthcare or complex software ecosystems
- Proven track record translating research findings into large-scale production-ready enterprise solutions
- Exceptional communication, negotiation, and stakeholder management skills
Optum Compensation & Benefits Highlights
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Healthcare Strength — Official materials highlight copay and HSA medical plan choices with in‑network preventive care at 100%, prescription coverage, and low/no‑cost virtual visits, plus company HSA contributions. Dental preventive services are 100% in network, and mental health resources include an EAP and premium Calm access.
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Parental & Family Support — Programs include six weeks paid parental leave, up to two weeks paid caregiver leave, and Bright Horizons back‑up care with enhanced family supports. Adoption assistance up to $10,000 for full‑time employees reinforces family‑oriented benefits.
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Equity Value & Accessibility — Financial benefits include an Employee Stock Purchase Plan at a 10% discount, expanding access to equity ownership.
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The Company
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.
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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
