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 develop AI solutions leveraging traditional Machine Learning, Deep Learning, and Generative AI technologies
- Build applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and agent-based architectures
- Develop and optimize NLP solutions for text classification, summarization, information extraction, semantic search, and conversational AI use cases
- Evaluate, benchmark, and fine-tune foundation models using industry-standard frameworks and performance metrics
- Implement Responsible AI principles, ensuring solutions meet requirements for scalability, security, explain ability, and reliability
- 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:
- Master's degree in computer science, Engineering, Mathematics, Statistics, or a related discipline
- 10+ years of experience in Software Engineering, Data Science, or Analytics, with 8+ years in AI/ML engineering or related fields and the last 3+ years focused on Generative AI technologies including OpenAI, Claude, Gemini, LangChain, Agents, RAG, Vector Databases, Prompt Engineering, and fine-tuning
- Experience with AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, and Scikit-learn
- Experience with cloud platforms such as AWS, Azure, and GCP
- Experience with DevOps and CI/CD tools and practices including Git, Jenkins, Docker, and Kubernetes
- Hands-on experience in AI and driving the development of innovative AI and machine learning solutions
- Proficiency in Python or other programming languages for data analysis and AI/ML development
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
- Master's degree in computer science, engineering, mathematics, statistics, or a related discipline
- 10+ years of experience in software engineering, data science, or analytics
- 8+ years of experience in AI/ML engineering or related fields
- 3+ years focused on generative AI technologies, including OpenAI, Claude, Gemini, LangChain, agents, RAG, vector databases, prompt engineering, and fine-tuning
- Experience with MLflow, TensorFlow, PyTorch, Keras, and Scikit-learn
- Experience with AWS, Azure, and GCP
- Experience with DevOps and CI/CD practices, including Git, Jenkins, Docker, and Kubernetes
- Hands-on experience developing innovative AI and machine learning solutions
- Proficiency in Python or other programming languages for data analysis and AI/ML development
Optum Compensation & Benefits Highlights
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Parental & Family Support — Paid parental leave (six weeks), paid caregiver leave (up to two weeks), Bright Horizons back-up care, and adoption assistance up to $10,000 are prominently included. Feedback suggests these family supports meaningfully aid work-life balance and are often highlighted as strengths.
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Retirement Support — A 401(k) with company match is available to all employees, including part-time staff, alongside other financial protections like disability and life insurance. Feedback suggests broad access and matching make retirement support a core pillar of the package.
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Equity Value & Accessibility — An Employee Stock Purchase Plan offers discounted company stock, with some roles also eligible for sign-on or performance bonuses. Feedback suggests the ESPP is a standout financial perk that helps employees build ownership over time.
Optum Insights
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.
