AI/ML Engineer - Remote

UnitedHealth Group • Basking Ridge, NJ

8h • Remote

About The Position

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? 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

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

Nice To Haves

• Bachelors degree in Computer Science or related field
• 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

Benefits

• In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements).
• No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level