Senior AI/ML Engineer

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:

AI Applications and Feature Development

Develop and refine LLM-based features such as chat, summarization, knowledge search, and data extraction

Apply prompt engineering techniques and support model fine tuning or parameter efficient tuning (e.g., LoRA)

Implement RAG (retrieval augmented generation) workflows including preprocessing, embedding generation, and vector search

Model and Architecture Understanding

Work with transformer-based models; apply foundational understanding of attention, embeddings, and model behavior

Assist in model interpretability and improving reliability of model outputs

AI Quality, Evaluation and Safety

Help improve accuracy by reducing hallucinations through prompting, guardrails, and retrieval improvements

Support benchmarking, evaluation tests, and quality checks

Contribute to Responsible AI practices

Integration and Orchestration

Build services integrating AI APIs (OpenAI, Azure, open source LLMs)

Implement tool/agent orchestration flows with guidance from senior team members

Work with vector databases such as FAISS, Pinecone, or pgvector

Performance and Optimization

Contribute to enhancements in latency, throughput, and token efficiency

Support implementation of model compression and quantization techniques

Develop caching and batching strategies to improve system performance

Collaboration and Delivery

Work closely with product, data, and engineering teams to deliver high quality AI features

Participate in code reviews, team design discussions, and knowledge sharing

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:

Bachelor's or master's degree in computer science, Engineering, or a related field

5+ years of software engineering experience, including 1-2 years with generative AI or LLMs

Experience building cloud-based applications (Azure, AWS, or GCP)

Working knowledge of:

LLMs, prompt engineering, fine tuning basics, and RAG

Transformer architecture fundamentals (attention, embeddings)

Evaluation and safety concepts (hallucination reduction, quality checks)

AI integration using APIs, vector DBs, and orchestration frameworks

Token optimization and latency reduction strategies

Proficiency in Python or TypeScript

Proven solid problem solving and collaborative 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.