[Hiring] Senior AI/ML Engineer @UnitedHealth Group

Role Description

The Optum Technology Digital team is on a mission to disrupt the healthcare industry, transforming UHG into an industry-leading Consumer brand. We deliver hyper-personalized digital solutions that empower direct-to-consumer, digital-first experiences, educating, guiding, and empowering consumers to access the right care at the right time. Our mission is to revolutionize healthcare for patients and providers by delivering cutting-edge, personalized and conversational digital solutions. We’re Consumer Obsessed, ensuring they receive exceptional support throughout their healthcare journeys.

As we drive this transformation, we're revolutionizing customer interactions with the healthcare system, leveraging AI, cloud computing, and other disruptive technologies to tackle complex challenges. Serving UnitedHealth Group's digital technology needs, the Consumer Engineering team impacts millions of lives through UnitedHealthcare & Optum.

You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Design, develop, and productionize machine learning and generative AI solutions supporting HealthSafe use cases, including conversational AI, clinical/administrative decision support, and longitudinal health data experiences.
• Build and maintain end to end ML pipelines (data ingestion, feature engineering, training, evaluation, deployment, and monitoring) in cloud native environments.
• Develop scalable inference services and APIs to integrate ML models into HealthSafe platforms and downstream consumer or provider applications.
• Apply NLP, LLMs, embeddings, and deep learning techniques to enable intelligent health data retrieval, summarization, and conversational workflows.
• Collaborate closely with product, engineering, data, clinical, and security stakeholders to translate HealthSafe requirements into robust AI/ML solutions.
• Ensure model reliability, performance, explainability, and safety, especially for regulated, member impacting healthcare workflows.
• Implement Responsible AI (RAI) practices, including bias evaluation, data privacy safeguards, auditability, and governance aligned with enterprise standards.
• Optimize models and pipelines for cost, latency, and scale in high volume, production healthcare systems.
• Mentor junior engineers and contribute to AI/ML engineering standards, best practices, and reusable frameworks across HealthSafe teams.

Qualifications

• BS with 5+ years of experience or MS and 3+ years in Computer Science or related field.
• 3+ years of hands on experience designing and delivering production grade AI/ML systems in enterprise environments.
• Experience building NLP and LLM powered systems, including embeddings, semantic search, intent classification, and text summarization.
• Hands on experience deploying models using cloud platforms and MLOps practices (CI/CD, monitoring, model versioning).
• Solid foundation in machine learning, statistics, probability, optimization, and experimental design.

Requirements

• Experience contributing to or leading cross functional AI initiatives in large, distributed teams.
• Familiarity with healthcare data standards and ecosystems (e.g., FHIR, longitudinal health records, identity and consent flows).
• Demonstrated ability to work on regulated, safety critical systems, balancing innovation with reliability, privacy, and compliance.
• Demonstrated solid communication skills with the ability to explain complex AI/ML concepts to non technical stakeholders.

Benefits

• Comprehensive benefits package.
• Incentive and recognition programs.
• Equity stock purchase.
• 401k contribution (all benefits are subject to eligibility requirements).

Application Deadline

This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.