About the Role:

Blue Cross Blue Shield of Massachusetts is looking for a Senior AI Product Owner to guide one or more of our high-performing AI engineering teams. In this role, you will be a hands-on leader, combining deep technical expertise with strong mentorship skills to drive the development of our cutting-edge agentic AI framework. You will be responsible for the technical direction, delivery, and quality of your team's work, ensuring that our AI solutions are well-architected, scalable, and robust.

This is a critical role for a highly experienced AI engineer who is passionate about building innovative solutions and mentoring a team of talented engineers. You will be at the heart of our AI initiatives, ensuring that we maintain engineering excellence while delivering impactful products.

This role is eligible for our Flex Persona for candidates local to our Boston, MA office.

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.

1-3+ years of hands-on experience in machine learning and deep learning frameworks such as TensorFlow, PyTorch, and scikit-learn.

1+ 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.

What Will Make You Stand Out (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.

Please let me know if this draft meets your needs or if you would like any adjustments.

Minimum Education Requirements:

High school degree or equivalent required unless otherwise noted above

Location
Boston, HinghamTime Type
Full time

Salary Range: $111,960.00 - $136,840.00

The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs and affordability.

This job is also eligible for variable pay.

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

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.