Sr AI/ML Engineer Remote Nationwide or Hybrid in MN/DC/NJ

UnitedHealth Group•Basking Ridge, NJ

8h•$44 - $79•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. The Provider Digital Technology team is focused on delivering a unified, intuitive digital entry point for UnitedHealthcare providers and partners to access tools, services, and information. We build consistent, secure, and scalable capabilities that simplify how providers discover, navigate, and engage with UHC’s digital ecosystem. By working across UnitedHealthcare and the broader UnitedHealth Group organization, we reduce friction, enhance provider experience, and help advance UHC’s mission to make the health system work better for everyone. Our team collaborates closely with engineering, platform, and business partners to integrate diverse applications and data sources into a seamless provider experience across Portal, API, EDI, Chat, and Voice channels. We are also advancing the responsible use of AI, including developing digital assistants and chatbots for both chat and voice interactions, always with a focus on safety, compliance, and improving provider workflows. Our work plays a critical role in scaling digital access, supporting the evolving needs of healthcare providers, and enabling faster, more efficient problem-solving across the care delivery ecosystem. 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. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Requirements

BS in Computer Science, Engineering, or related technical field (or equivalent experience)
6+ years of software engineering experience
4+ years of hands-on experience building AI/ML solutions, including LLMs, Generative AI, and traditional ML models
4+ years of experience with Web and API development
4+ years of experience hosting applications in cloud environments (AWS preferred)
Solid experience with Chatbots, Conversational AI, and NLP-based solutions
Solid experience with Agentic AI (MCP or similar agent orchestration frameworks) and Strands Agents
Solid experience in Python or Java
Solid knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations

Nice To Haves

Experience in the healthcare industry
Full-stack engineering experience

Responsibilities

Drive responsible use of AI/ML adoption across the team, driving innovative use of both Generative AI and traditional ML techniques
Design, develop, test, deploy, maintain, and continuously improve AI-powered software solutions to meet customer and business needs
Build responsible AI solutions and service components to support the Provider community, ensuring compliance with ethical and regulatory standards
Develop new features leveraging AI/ML, including Generative AI models, predictive analytics, and automation capabilities
Provide technical leadership for AI initiatives, including Chatbots and conversational AI solutions
Partner with product management, architects, and engineering leadership to deliver creative, scalable AI solutions for healthcare challenges
Drive alignment with enterprise AI strategies and ensure solutions meet business objectives and engineering best practices
Accountable for high-quality software deliverables and operational excellence
Mentor and train team members on AI/ML technologies, frameworks, and responsible AI practices
Collaborate with broader engineering teams to integrate AI into cloud modernization efforts and digital-first initiatives
Exercise independent judgment to prioritize, plan, and manage AI-related activities and projects