Описание

Optum Tech is a global leader in health care innovation, developing cutting-edge solutions from advanced data analytics and AI to cybersecurity to solve complex challenges in healthcare.

UnitedHealthcare is accelerating its next-generation AI transformation through Claims AI 10.0 and Enterprise Agentic AI initiatives, 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.

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

Requirements

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 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 hands-on experience with Generative AI, LLMs, NLP, and AI architecture
3+ 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, SageMaker, Lambda, ECS/EKS, OpenSearch, and S3
Experience leading AI governance, model lifecycle management, operationalization, and production support processes

Nice to have

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

We offer

The salary for this role will range from 148,900 USD to 255,300 USD annually based on full-time employment
Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements)
Flexibility to work remotely from anywhere within the U.S. 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

Hiring process

This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants