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 Responsibility:
- 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:
- AI Engineer - Bachelor's degree or higher in computer science engineering. Overall 15+ years of experience in AI ML roles
- 5+ years of experience in Python, pytorch , SQL and other programming languages for data analysis and modeling
- Experience in implementing real projects using Gen AI, Fine tuning LLMs , RAG
- Experience in implementing enterprise level Agentic solution using any of the open frameworks (Langgraph, Google ADK, CrewAI, etc.)
- Experience with vector databases / embeddings
- Experience in Document AI / OCR / extraction solutions and structured output creation
- Understanding of Both Opensource and Open AI LLMs and RAG architecture
- Familiarity with NLP literature, thrust areas, conference venues, and code repositories
- Familiarity with UI tools like Streamlit, flask etc , FAST APIs , Rest APIs , Docker containers
- Exposure implementing multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, Deep learning, NLP
- Proficiency in libraries such as OpenAI API
- Proficiency with cloud development environments such as Azure, AWS, and GCP
- Proven excellent grasp of using LLMs, Deploying LLMs
- Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions
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.
#njp #nic
Skills Required
- Bachelor’s degree or higher in computer science or engineering
- 15+ years of overall experience in AI and machine learning roles
- 5+ years of experience with Python, PyTorch, SQL, and other programming languages for data analysis and modeling
- Experience implementing real-world projects using generative AI, LLM fine-tuning, and RAG
- Experience implementing enterprise-level agentic solutions using frameworks such as LangGraph, Google ADK, or CrewAI
- Experience with vector databases and embeddings
- Experience with Document AI, OCR, extraction solutions, and structured output creation
- Understanding of open-source and OpenAI LLMs and RAG architecture
- Familiarity with NLP literature, research areas, conference venues, and code repositories
- Familiarity with UI tools such as Streamlit and Flask, as well as FastAPI, REST APIs, and Docker containers
- Experience with supervised, unsupervised, reinforcement, deep learning, and NLP techniques
- Proficiency with the OpenAI API
- Proficiency with Azure, AWS, and GCP cloud development environments
- Proven ability to use and deploy LLMs
- Excellent analytical and problem-solving skills, including root-cause analysis and solution recommendation
Optum Compensation & Benefits Highlights
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Leave & Time Off Breadth — PTO is generally described as decent or good, and many note it as a strong part of the package. Actual ability to take time off can depend on workload and team coverage.
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Retirement Support — Offerings include a 401(k) with employer match and access to an employee stock purchase plan, which are highlighted as meaningful components of total rewards. These programs are consistently referenced among core benefits.
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Parental & Family Support — Parental and caregiver leave, along with adoption assistance, are publicly highlighted and viewed as notable elements of the package. Availability can be role-specific, but these supports contribute to overall breadth where offered.
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.
