Senior Manager, AI/ML Engineering - Java Spring Boot - Remote
About The Position
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, or AI/ML engineering with Java Spring Boot
- 5+ years of experience with core programming languages (e.g. Java)
- 3+ years of experience managing, leading, or mentoring engineering teams
- 2+ years of hands-on experience designing, building, and deploying AI/ML models, large language models (LLMs), RAG, etc.
- 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
Benefits
- comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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What This Job Offers
Job Type
Full-time
Career Level
Manager
