Sr Manager, AI/ML Engineering - Remote Nationwide or Office-Based in MN/DC

UnitedHealth Group•Minnetonka, MN

5d•$148,900 - $255,300•Remote

About The Position

At UnitedHealthcare, we’re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together. As a Senior Manager of AI/ML Engineering within the UHC Operations and Experience technology team at Optum Technology, you will lead a high-performing engineering team dedicated to building, scaling, and deploying innovative artificial intelligence and machine learning solutions. In this role, you will partner closely with business leaders, product managers, and enterprise architects to translate operational and customer experience goals into cutting-edge AI-driven solutions. You will drive technical direction, foster engineering excellence, oversee MLOps and software development lifecycles, and mentor engineering talent to deliver high-impact technology that optimizes operations and enhances healthcare experiences. 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.

Requirements

Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent experience
8+ years of progressive experience in software engineering, data engineering, or AI/ML engineering
3+ years of experience managing, leading, or mentoring engineering teams
3+ years of hands-on experience designing, building, and deploying AI/ML models or data pipelines into production environments
3+ years of experience with core programming languages (e.g., Python, Java, or C++) and machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn)
2+ years of experience with cloud platform infrastructure (e.g., Azure, AWS, or GCP) and containerization technologies (e.g., Docker or Kubernetes)
Proven track record managing the full software development lifecycle (SDLC) within agile delivery methodologies

Nice To Haves

Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related technical field
Experience in healthcare technology, specifically within healthcare operations, claims processing, or consumer digital experience
Demonstrated expertise in MLOps automation, large-scale data engineering tools (e.g., Spark, Databricks), or Generative AI / Large Language Models (LLMs)
Solid executive presentation, strategic thinking, and cross-functional stakeholder management skills

Responsibilities

Lead, manage, and mentor a multidisciplinary engineering team focused on building, deploying, and maintaining enterprise AI/ML solutions and platforms
Partner with business, product, and architecture stakeholders across UHC Operations and Experience to define technology roadmaps, system architectures, and engineering strategy
Drive continuous improvement in MLOps, software engineering practices, code quality, automated testing, continuous integration/deployment (CI/CD), and model governance
Oversee technical architecture, design decisions, resource allocation, project scheduling, and risk mitigation across all team deliverables
Ensure AI/ML solutions adhere to enterprise data security, privacy, governance, and regulatory compliance standards
Establish engineering KPIs and operational metrics to evaluate model performance, system availability, and team productivity