Senior Manager, AI/ML Engineering - Java Spring Boot - Remote
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Lead a team to build AI/ML solutions for healthcare outcomes
Lead a multidisciplinary team to build, scale, and deploy AI/ML solutions that improve operational efficiency and patient experience. You'll partner with stakeholders to shape roadmaps and architecture, while advancing MLOps, software practices, and governance. This role offers remote work with in-person collaboration where required and a path to drive measurable healthcare outcomes.
Key Responsibilities
- Lead and mentor a multidisciplinary engineering team focused on AI/ML solutions and platforms
- Define technology roadmaps, system architectures, and engineering strategy with stakeholders
- Advance MLOps, CI/CD, code quality, automated testing, and model governance
Requirements
- 8+ years in software or AI/ML engineering with Java Spring Boot
- 5+ years leading or mentoring engineering teams
- 3+ years designing/building/deploying AI/ML models, including LLMs and RAG
Required Skills
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Original description from the original listing
Minnetonka, Minnesota (United States) Overview In this role, you lead a multidisciplinary team to build, scale, and deploy AI/ML solutions that improve operational efficiency and patient experience. You partner with business, product, and architecture stakeholders to shape roadmaps and architecture, while advancing MLOps, software practices, and governance. You'll guide delivery, ensure security and compliance, and establish metrics to monitor impact and reliability. This is a mission-driven leadership role at Optum Technology, offering remote work with in-person collaboration where required and a path to drive measurable healthcare outcomes. Compensation / Benefits comprehensive benefits package equity stock purchase 401k contribution remote work flexibility incentive and recognition programs telecommuter policy Responsibilities Lead and mentor a multidisciplinary engineering team focused on AI/ML solutions and platforms Define technology roadmaps, system architectures, and engineering strategy with stakeholders Advance MLOps, CI/CD, code quality, automated testing, and model governance Oversee architecture, design decisions, resource allocation, project scheduling, and risk management Ensure AI/ML solutions meet data security, privacy, governance, and regulatory standards Establish KPIs and operational metrics for model performance, system availability, and team productivity Key requirements Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience 8+ years in software or AI/ML engineering with Java Spring Boot 5+ years leading or mentoring engineering teams 3+ years designing/building/deploying AI/ML models, including LLMs and RAG 2+ years cloud platform infrastructure (Azure/AWS/GCP) and containerization (Docker/Kubernetes) Proven SDLC management within Agile delivery cross-functional collaboration strategic thinking executive communication Java Spring Boot MLOps CI/CD
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