Sr. Manager, AI Engineering

Blue Cross Blue Shield of Massachusetts • Boston, MA

11d • Hybrid

About The Position

Blue Cross Blue Shield of Massachusetts is seeking a transformative Senior Manager of AI Engineering to lead the technical strategy and execution of our next-generation agentic AI systems. In this high-impact role, you will define the technical architecture, frameworks, and best practices that will shape the future of our AI-driven solutions. The ideal candidate is a strategic leader with deep technical expertise who can provide clear vision and mentorship to a talented AI development team. You will be responsible for ensuring our agentic systems are scalable, robust, and secure, driving innovation while maintaining the highest standards of engineering excellence. This role is eligible for our Flex Persona for candidates local to our Boston, MA office.

Requirements

• A Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 8-10 years of progressive leadership experience, with a proven track record in both functional and people management roles.
• 5+ years of experience managing technical teams within a matrix delivery organization using Agile methodologies.
• Demonstrated experience defining a strategic technical vision and successfully aligning engineering teams with business goals.
• Strong background in designing scalable agentic architectures and establishing development best practices.
• Solid understanding of core AI/ML concepts, including model training, Retrieval-Augmented Generation (RAG), and major AI platforms (AWS, Azure, Google Cloud).
• Deep expertise in Governance, Information Security, Solution Architecture, and Systems Integration.
• Hands-on programming skills in languages such as Python, R, or Java for building and implementing AI models.

Nice To Haves

• Proven experience developing and deploying agentic AI solutions on one or more leading cloud platforms (AWS, Azure, or GCP).
• Practitioner-level or Professional-level cloud certifications (e.g., AWS Certified Solutions Architect, Google Professional Cloud Architect).

Responsibilities

• Define the Strategic Vision: Establish and champion the strategic and technical vision for the AI engineering team, ensuring it aligns perfectly with our broader business objectives.
• Architect for Scale: Design scalable, robust, and resilient agentic architectures, leveraging advanced AI capabilities and seamless external integrations.
• Set the Standard for Excellence: Establish, enforce, and refine coding standards, development guidelines, and engineering best practices for the entire AI agent ecosystem.
• Lead and Mentor: Provide strong technical leadership, hands-on guidance, and active mentorship to the AI development team, fostering a culture of innovation and continuous improvement.
• Drive Innovation: Lead research and evaluation of new agentic technologies, emerging AI/ML models, and cutting-edge tools to keep our solutions at the forefront of the industry.
• Ensure System Integrity: Take ownership of the security, performance, and reliability of all agentic solutions, implementing governance and best practices across the board.
• Manage Agile Teams: Effectively manage engineering teams within a matrix delivery organization, utilizing Agile methodologies to ensure efficient and predictable execution.

Benefits

• comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and a suite of well-being benefits to eligible employees

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 1,001-5,000 employees