Primary Responsibilities:
- AI Product Development: Drive end-to-end development of AI/ML and GenAI solutions, including data ingestion, feature engineering, modeling, deployment, testing, and performance monitoring
- Advanced Modeling: Build and optimize machine learning and deep learning models across domains such as NLP, NLU and multidimensional time-series forecasting
- GenAI Optimization: Implement quantization and optimization techniques for LLMs and GenAI models to improve efficiency and reduce cost
- Lifecycle Management: Develop the full lifecycle of NLP and ML models for a suite of products, ensuring compliance with enterprise governance and Responsible AI standards
- Proof-of-Concept Leadership: Execute large-scale PoCs leveraging on-premise and cloud technologies to validate innovative AI solutions for complex systems (Preferably IT Asset Management)
- RAG & Vector DB Pipelines: Design and implement retrieval-augmented generation (RAG) pipelines with vector databases to enable accurate, context-aware responses
- Governance & Best Practices: Establish and enforce best practices for ML, DL, and GenAI development, ensuring rigor, reproducibility, and quality outcomes
- Cross-Functional Collaboration: Partner with business stakeholders, compliance teams, and platform engineering to align AI initiatives with organizational goals
- Autonomous Problem-Solving: Operate with a high degree of independence to tackle complex technical and business challenges
- 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
- Proven experience in ML, NLP, and GenAI product development
- Hands-on expertise with RAG architectures, vector databases, and LLM fine-tuning
- Solid knowledge of model optimization techniques (e.g., quantization, distillation)
- Proficiency in MLOps tools and practices for model deployment and monitoring
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.
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What We Do
We’re the health care technology and innovation company of the UnitedHealth Group enterprise along with UnitedHealthcare. We’re a global organization that’s evolving health care so everyone can have the opportunity to live their healthiest life. With our hands across all aspects of health, we'll provide you with a rewarding career that enables you to grow in the directions that best fit your passions. This is your opportunity to be part of a team that’s dedicated to Caring. Connecting. Growing together.
Our global technology team consists of more than 30,000 innovators from around the world passionate about using technology to improve the lives of people and communities. We are modernizing the health care system through modern analytics, comprehensive clinical expertise, innovative technologies and extensive experience in improving operational and clinical performance.
As part of our team, you will be provided opportunities to channel your curiosity into initiative, working alongside distinguished engineers and developers pursuing innovations that improve the health care experience for everyone. We encourage you to dive in, explore and ask questions about creative ways to use technology to help make the health care system work like an actual system.
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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, the responsibilities of a job, and your preference for more flexibility. These models are core on-site 5 days/week, hybrid 3 day/s week and telecommute or fully remote.
