Lead AI​/ML Engineer - Digital Experience - Remote

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 in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.

Are you passionate about applying AI to solve complex business challenges at enterprise scale? We are seeking a Lead AI/ML Engineer to design, build, and operationalize AI capabilities that drive decision-making, productivity, and innovation across the Enterprise Finance organization. In this role, you will lead the development of AI-powered solutions including large language model (LLM) applications, retrieval-augmented generation (RAG), intelligent agents, classification models, summarization workflows, and decision-support tools.

You will work closely with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver trusted, scalable, and governed AI solutions aligned with enterprise engineering practices and productization standards.

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.

• Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI
• Design AI solution architectures aligned with business objectives, risk tolerance, and governance requirements
• Build and deploy LLM workflows, prompt orchestration chains, agent-based solutions, RAG applications, model integrations, classification models, and decision-support capabilities
• Develop prompt strategies, grounding approaches, tool-calling patterns, guardrails, and fallback mechanisms to improve solution quality and reliability
• Evaluate emerging technical trends to inform solution design, platform capabilities, and strategic innovation
• Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
• Partner with Data Engineering teams to ensure access to trusted, governed, and high-quality data sources
• Establish evaluation frameworks, test datasets, scoring rubrics, and model-performance benchmarks
• Monitor and optimize output quality, relevance, accuracy, consistency, latency, cost efficiency, and hallucination risk
• Support production readiness through observability, monitoring, model evaluation, and drift detection practices while documenting solution behavior and controls

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.

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent experience (e.g., 4+ years of relevant software/AI engineering experience in lieu of degree)
• 5+ years of experience in software engineering, machine learning, or AI engineering
• 3+ years of experience with cloud-native architectures, APIs, data platforms, and scalable software systems
• 2+ years of hands-on experience building and deploying generative AI and LLM-based applications in production environments
• 2+ years of experience with prompt engineering, RAG architectures, AI agents, model evaluation, and operational AI governance
• Demonstrated experience applying Responsible AI, security, privacy, and compliance practices in enterprise software systems

• 1+ years of experience developing and deploying agentic AI solutions
• Experience supporting Finance, FP&A, Accounting, Treasury, Tax, or other enterprise finance functions
• Familiarity with AI observability, model monitoring, vector databases, semantic search, and knowledge retrieval systems
• Experience leading enterprise AI products from initial design through production support

* All employees working remotely will be required to adhere to United Health Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets,…