Sr AI Product Owner

About the role

Blue Cross Blue Shield of Massachusetts is seeking a Senior AI Product Owner to lead one or more high-performing AI engineering teams. This role requires a hands-on leader with deep technical expertise and strong mentorship skills to drive the development of cutting-edge agentic AI framework solutions.

What You'll Do

• Provide Technical Leadership: Guide and mentor a team of AI Engineers, ensuring adherence to architectural best practices, coding standards, and engineering excellence.
• Oversee Solution Design: Lead the detailed technical design and implementation of complex AI agent components, Generative AI integrations, and the underlying infrastructure.
• Drive Team Delivery: Collaborate closely with Product Owners to refine technical requirements, estimate efforts, and ensure the timely and high-quality delivery of AI features.
• Ensure Code Quality: Establish and enforce rigorous code review processes to ensure code quality, security, and maintainability.
• Solve Complex Technical Problems: Serve as the primary technical escalation point for your team, troubleshooting complex issues and guiding resolutions.
• Mentor and Develop Talent: Actively coach and mentor AI Engineers, helping them grow their technical skills and understanding of agentic architectures.
• Evaluate New Technologies: Assess new tools, libraries, and frameworks that can improve your team's efficiency and capabilities.

What You'll Bring (Required Qualifications)

• A Bachelor's degree in Computer Science, Technology, or a related field.
• 6+ years of hands-on experience in machine learning and deep learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
• 3+ years of hands-on expertise in developing agentic solutions, with strong knowledge of cloud services (AWS, Azure, Google Cloud) and MLOps tools (like Docker and Kubernetes).
• Proven experience overseeing the technical design and implementation of complex AI agent components.
• Hands-on experience designing and developing AI agents that leverage Retrieval Augmented Generation (RAG) architectures and fine-tuning techniques.
• Proven expertise in managing the performance, scalability, and reliability of AI models in production.
• Excellent communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
• Demonstrated experience conducting code reviews, leading knowledge-sharing sessions, and making critical decisions on technologies and frameworks.

Preferred Qualifications

• Experience in Linux/Unix scripting.
• Experience working with multiple cloud platforms (AWS, GCP, Azure).
• Solution Architect Associate certifications, preferably in GCP or AWS.