Note: The job is a remote job and is open to candidates in USA. Optum delivers technology-enabled care, pharmacy benefits, data, and resources to help people live healthier lives. The Senior Manager of AI/ML Engineering will lead teams and architectural strategy to design, develop, deploy, and operate enterprise-scale AI-powered solutions, machine learning platforms, and automation capabilities across pharmacy systems. The role also partners with product, engineering, data science, and business leaders to drive responsible AI adoption, governance, security, and operational excellence.
Responsibilities
- Lead and manage engineering teams, managers, and technical leaders in the design, development, deployment, and operation of enterprise-scale AI and ML solutions
- Design, develop, and deploy AI-powered solutions to address complex healthcare and pharmacy business challenges, placing emphasis on the responsible use of AI
- Use enterprise-approved AI tools and modern frameworks to streamline engineering workflows, automate core tasks, and drive continuous operational improvement
- Drive AI/ML adoption across the organization, accelerating the development of Generative AI, LLMs, NLP, predictive analytics, and Agentic AI capabilities
- Partner with product management, software engineering, and business leaders to align technical strategy with business objectives and enterprise engineering best practices
- Evaluate emerging technologies and AI trends to inform solution design, scalable architecture, and strategic technology innovation
- Oversee AI governance, model lifecycle management (MLOps), system security, and operational excellence for high-availability pharmacy platforms
- Mentor, coach, and develop engineering talent on modern AI/ML frameworks, cloud platforms, and responsible AI practices
Skills
- Bachelor's degree or 4+ years of equivalent software engineering experience in lieu of a degree
- 12+ years of software engineering experience
- 5+ years of experience managing engineering teams, engineering managers, or technical leaders
- 5+ years of experience delivering enterprise-scale AI, ML, Data, or Cloud platforms
- 4+ years of hands-on experience with Generative AI, LLMs, NLP, and enterprise AI architecture
- 3+ years of experience with Agentic AI, Retrieval-Augmented Generation (RAG), AI orchestration, and intelligent automation
- 3+ years of hands-on AI/ML engineering experience
- Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related technical field
- Hands-on experience with AWS cloud-native services including Bedrock, SageMaker, Lambda, ECS/EKS, OpenSearch, and S3
- Proven experience leading AI governance, model lifecycle management (MLOps), operationalization, and production support processes
- Solid Python development background and expertise in enterprise-scale AI platform architecture
- Demonstrated experience managing multi-million-dollar AI transformation programs
- Domain exposure to healthcare, pharmacy operations, clinical programs, utilization management, or regulated industries
- Solid executive communication, strategic planning, stakeholder management, and organizational leadership skills
Benefits
- Flexibility to work remotely from anywhere within the U.S.
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (all benefits are subject to eligibility requirements)
- Career development opportunities
Company Overview
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