Sr Manager, AI/ML Engineering - Remote

UnitedHealth Group•Minnetonka, MN

11h•$148,900 - $255,300•Remote

About The Position

Optum Tech and UnitedHealthcare are seeking a Senior Manager, AI/ML Engineering to lead multiple AI engineering teams delivering enterprise-grade AI, Generative AI, Agentic AI, and intelligent automation solutions. The role oversees strategic AI platforms and business-critical products for claims automation, intelligent decision systems, knowledge-driven workflows, and healthcare operational transformation. It combines technical and organizational leadership, people management, platform strategy, delivery excellence, and enterprise AI governance. The leader will guide AI engineering adoption, build and scale responsible AI solutions, and align delivery with enterprise AI strategies, business objectives, and engineering best practices. The position partners across product management, architecture, and engineering, and supports cloud modernization and digital-first initiatives. The role is remote within the U.S., except hires in the Minneapolis or Washington, D.C. area must work in the office at least four days per week. Remote employees must follow UnitedHealth Group’s Telecommuter Policy.

Requirements

Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical field.
12+ years of software engineering experience.
8+ years of AI/ML engineering experience.
5+ years managing engineering teams, managers, and technical leaders.
5+ years delivering enterprise-scale AI, ML, Data, or Cloud platforms.
4+ years of hands-on experience with Generative AI, LLMs, NLP, and AI architecture.
3+ years of experience with Agentic AI, RAG, AI orchestration, and intelligent automation.
Solid Python development background and familiarity with enterprise-scale AI platforms.
Experience with AWS cloud-native services, including Bedrock, SageMaker, Lambda, ECS/EKS, OpenSearch, and S3.
Experience leading AI governance, model lifecycle management, operationalization, and production support processes.

Nice To Haves

Experience managing multi-million-dollar AI transformation programs.
Exposure to healthcare payer, claims, provider operations, utilization management, or regulated industries.
Experience driving enterprise cloud modernization and platform transformation initiatives.
Strong executive communication, strategic planning, stakeholder management, and organizational leadership skills.

Responsibilities

Lead AI/ML adoption across the team, encouraging innovative use of Generative AI and traditional machine learning.
Design, develop, test, deploy, maintain, and continuously improve AI-powered software solutions for customer and business needs.
Build responsible AI solutions and service components for the Provider community in compliance with ethical and regulatory standards.
Use emerging cloud service provider offerings to enable efficient and cost-effective AI solutions.
Develop features using 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 scalable AI solutions for healthcare challenges.
Align solutions with enterprise AI strategies, business objectives, and engineering best practices.
Ensure high-quality software deliverables and operational excellence.
Mentor and train team members on AI/ML technologies, frameworks, and responsible AI practices.
Collaborate with engineering teams to integrate AI into cloud modernization and digital-first initiatives.
Independently prioritize, plan, and manage AI-related activities and projects.