Lead AI​/ML Engineer- Eden Prairie, MN

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Location:

Eden Prairie, Minnesota, United States Salary: $145,500 - $249,500/year

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Technology Company:
United Health Group 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.

Welcome to the Optum Health AI team! Our mission is to leverage cutting-edge AI technologies to transform healthcare operations, improve patient experience, and enhance scalability. This role focuses primarily on Voice AI-a high-visibility, key strategic initiative under Optum Health AI designed to create a seamless experience for members and agents, reduce manual work, and improve scalability.

As a Lead AI/ML Engineer, you will establish foundational capabilities such as language translation, accent harmonization, and real-time transcription. These advanced capabilities will cross-pollinate across all Optum Health AI pillars (including Provider Scheduling, Prior Authorization, Summarization, and more) while setting enterprise-wide standards for external vendor evaluations. Partnering closely with ECS Business, you will lead the estimates, solution architecture, roadmap alignment, and engineering to deliver production-ready prototypes that are reusable, scalable, secure, and compliant.

Primary Responsibilities:

Lead and mentor AI/ML engineers, setting technical direction, engineering standards, and a culture of continuous learning

Design, build, and deploy responsible Voice AI capabilities, including speech handling, enhanced ASR, bilingual switching, slurred speech recognition, dynamic personality, and multi-modal/multi-cloud interactions

Translate AI advances in real-time transcription and speech processing into scalable, reusable, production-ready enterprise capabilities

Partner with ECS Business to drive solution architecture, cost estimation, and roadmap alignment across modern and legacy technology stacks

Embed ethical AI and HIPAA-compliant security standards across the model development lifecycle

Implement advanced engineering features such as dynamic interactive forms, adaptive updates, and conditional logic to improve patient-agent workflows

Define enterprise standards for evaluating and vetting external AI vendors

Use enterprise-approved AI tools to automate workflows, accelerate delivery, and drive continuous improvement

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.

Required Qualifications:

Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical field; 4+ years of software engineering experience may substitute for a degree
10+ years of software engineering experience, including designing, building, and deploying production-grade AI/ML models and systems3+ years of experience leading engineering teams, mentoring engineers, defining technical standards, and driving solution architecture4+ years of experience developing applications leveraging Large Language Models (LLMs), LLM workflows, Agentic AI, evaluation techniques, and observability platforms

Experience with Python, backend services, cloud platforms, and CI/CD pipelines to deliver scalable, secure, production-ready solutions

Preferred Qualifications:

Master's or Ph.D. degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field

Technical experience with Databricks, Azure AI, Azure Transcription Services, RLlib, PyTorch, OpenAI, or similar AI/ML platforms and frameworks

Experience developing with front-end frameworks, REST/Web Socket APIs, and secure cloud-native application patterns

Experience working in healthcare, including EHR integration and HIPAA-compliant AI application development

Deep machine learning domain knowledge across NLP, speech, personalization, recommendation systems, computer vision, or anomaly detection

Demonstrated adaptability, ownership, learning agility, and curiosity in solving…