Sr Manager, AI​/ML Engineering - Remote

Job d:

Location:

Minnetonka, Minnesota, United States Salary: $148,900 - $255,300/year

Job Area:
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.

United Healthcare is accelerating its next-generation AI transformation through Claims AI 10.0 and Enterprise Agentic AI initiatives. We are seeking a highly experienced Senior Manager AI/ML Engineering to lead multiple AI engineering teams responsible for building and scaling enterprise-grade AI, Generative AI, Agentic AI, and intelligent automation solutions.

This leader will oversee delivery of strategic AI platforms and business-critical AI products supporting claims automation, intelligent decision systems, knowledge-driven workflows, and healthcare operational transformation. The role requires a solid blend of technical leadership, organizational leadership, people management, platform strategy, delivery excellence, and enterprise AI governance.

The ideal candidate will have experience leading large-scale AI engineering organizations, driving AI platform adoption, managing complex cross-functional programs, and delivering measurable business outcomes using AI technologies.

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.

Primary Responsibilities:

Lead 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

Leverage emerging offerings from cloud service providers to enable efficient and cost effective AI solutions

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

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.#Optum

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Required Qualifications:

Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or related technical field
12+ years of software engineering experience8+ years of AI/ML engineering experience5+ years managing engineering teams, managers, and technical leaders5+ years delivering enterprise-scale AI, ML, Data, or Cloud platforms4+ years hands-on experience with Generative AI, LLMs, NLP, and AI architecture3+ years experience with Agentic AI, RAG, AI orchestration, and intelligent automation

Demonstrated solid Python development background and familiarity with enterprise-scale AI platforms

Experience with AWS cloud-native services including Bedrock, Sage Maker, Lambda, ECS/EKS, Open Search, and S3

Experience leading AI governance, model lifecycle management, operationalization, and production support processes

Preferred Qualifications:

Experience…