Senior Manager AI/ML Engineering - Remote
Optum · San Francisco, CA · 1 mo ago
Engineering$149k–$255k/yrFull-time
About the role
Join a globally distributed and diverse organization with a shared passion to improve patient outcomes, enhance healthcare operations, and streamline payments. We pay close attention to detail to ensure we deliver high quality, the first time.
Responsibilities
- Provide strategic and technical leadership for AI platform execution and forward deployment across Payment Integrity and Optum Real, ensuring secure, reliable, and scalable delivery of reusable AI services
- Lead and inspire a high-performing team of AI/ML engineers and senior staff, fostering a culture of trust, ownership, product quality, and consistent execution excellence while setting clear AI development goals within team plans
- Champion AI as a core driver of team success, strategically designing, developing, and deploying AI-powered solutions to address complex clinical and administrative healthcare challenges and deliver measurable business value
- Strategically design and deliver intelligent, agentic workflows and agent-driven applications that review and reason over clinical and administrative data in customer environments
- Drive engineering and operational excellence across the full development lifecycle by applying AI to deployment automation, robust automated testing, continuous integration, and production observability in customer environments
- Leverage and integrate enterprise-approved AI tools to streamline engineering workflows, automate routine developer tasks, and drive continuous operational improvement
- Champion the ethical use of AI across all projects, proactively embedding transparency, fairness, and accountability throughout the entire AI lifecycle of reusable services
- Partner cross-functionally with product managers, customer integration teams, senior stakeholders, and enterprise leaders to represent the engineering vision, accelerate platform reuse, and drive repeatable revenue
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, Mathematics, Statistics, or a related quantitative field, or 4+ additional years of equivalent software engineering experience in lieu of a degree
- 12+ years of experience in Software Engineering, Data Science, or Analytics, with 3+ years dedicated to AI/ML engineering or related fields
- 3+ years of experience directly managing, coaching, and developing engineering teams of 5+ people, including senior engineers
- Demonstrated experience leading and managing AI/ML projects from initial ideation and development through to customer-facing production delivery, deployment, and evaluation
- Technical experience with major cloud platforms (AWS, Azure, or GCP) and containerization/orchestration tools (Docker, Kubernetes)
- Experience with DevSecOps, automated CI/CD practices (e.g., Git, Jenkins), and proficiency in Python or other programming languages for data analysis and AI/ML development
Preferred Qualifications
- Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field
- 2+ years of hands-on experience with Generative AI technologies, including large language models (LLMs like OpenAI, Claude, Gemini), LangChain, AI Agents, Retrieval-Augmented Generation (RAG), Vector Databases, Prompt Engineering, and model fine-tuning
- Experience applying AI to agentic workflows, deployment automation, and production observability (e.g., model monitoring, logging, and performance tracking)
- Experience in establishing and enforcing AI/ML engineering best practices, design standards, and ethical guidelines
- Experience in Payment Integrity, clinical operations, or healthcare claim systems
- Experience managing or working with a mixed team, both onshore and offshore
Benefits
We offer a comprehensive benefits package, incentive and recognition programs, equity stock purchase, and a 401k contribution (all benefits are subject to eligibility requirements).
Pay
The salary for this role will range from $148,900 to $255,300 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Contact
For more information about this position, please contact [Contact Information].