AI/ML Engineer - Remote or Hybrid in MN/DC/NJ

UnitedHealth Group•Basking Ridge, NJ

20h•Hybrid

About The Position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with your 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. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Requirements

1+ years of total software engineering experience
1+ years of experience with Python and/or Java programming
1+ years of experience building and integrating model‑backed APIs/services (Python, Node, or Java) into production systems
1+ years of hands‑on experience in AI/ML (e.g., NLP, GenAI, predictive modeling, or recommendation systems)
1+ years of experience working with AWS cloud and core components (containers/serverless, IAM basics, storage/networking fundamentals, logging/metrics)
1+ years of experience implementing security, access control, monitoring/alerting, and foundational resiliency/DR concepts for cloud applications
1+ years of experience with version control, code reviews, automated testing, and CI/CD

Nice To Haves

Bachelors degree in Computer Science/related fields or equivalent experience
Exposure to healthcare data/processes

Responsibilities

Design and build AI-powered features using NLP/LLMs and classical ML for provider chat and voice workflows
Deliver end to end: data preparation, modeling/experimentation, evaluation, API integration, deployment, and monitoring in cloud environments
Implement responsible AI guardrails (content safety, PHI/PII controls, prompt hygiene, evaluation suites) and collaborate with governance/review partners
Develop and maintain web services and APIs that expose ML capabilities; write clear documentation and runbooks
Apply MLOps practices (CI for ML, model registry, reproducible experiments) and contribute to on call/operational support with mentorship
Collaborate with product, architecture, security, data, and platform teams to align with enterprise standards and deliver measurable outcomes
Continuously improve code quality, test coverage, latency, reliability, and cost per inference
Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows and decision-making