AI Solution Architect

Blue Cross Blue Shield of Massachusetts; Boston (MA); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Blue Cross Blue Shield of Massachusetts is seeking an Associate Director of Data Product Management to lead a team delivering enterprise data products and AI-driven capabilities. You will shape data product strategy, drive adoption, and ensure value, quality, and governance across data assets powering analytics and AI applications.

The role emphasizes data governance, scalable architecture, and collaboration with engineering, product, and business leaders to translate strategy into actionable

Qualifications

• 10+ years IT experience with architecture focus.
• 5+ years solution architecture and leadership.
• 3+ years REST/SOAP API experience; 5+ years coding in Java/SQL/Python.

Responsibilities

• Design technical solutions and blueprints for AI agents and modules.
• Ensure adherence to architectural patterns, security, and standards.
• Optimize Google Agent Space and GCP services for performance and cost.
• Develop reusable agentic components across the Bluefield framework.
• Provide troubleshooting for complex architecture challenges.
• Oversee integration with enterprise systems and APIs.
• Collaborate with governance and risk partners on standards.
• Lead POCs and document deployment configurations.
• Mentor junior engineers in architectural principles.

Skills

REST APIs

Java

SQL

Python

Snowflake

AWS

GCP

Data governance

Security practices

Mentorship

Tools

Snowflake

AWS

GCP

Job description

Ready to help us transform healthcare? Bring your true colors to blue.

Your Day To Day

In this role you will contribute to the evolution of our company-wide AI, Data & Analytics platform and play a pivotal part in shaping the architecture of our next-generation data platform leveraging Snowflake , AWS, GCP and AI technologies. As part of the Data Analytics & Insights team, you will be responsible for the designing and delivering scalable, high-performance solutions and implementation that empower our Data and AI initiatives across the organization.

This role is eligible for our Flex persona, with candidates local to our Boston, MA or Hingham, MA offices preferred.

We’re Looking For Someone Who

• Solution Design & Implementation: Design detailed technical solutions and blueprints for individual AI agents or modules, ensuring alignment with the overarching architectural vision set by the Senior AI Architect. This includes defining data flows, API integrations, and component interactions within Google Agent Space.
• Technical Guideline Adherence: Ensure that agent development efforts strictly adhere to the architectural patterns, coding standards, security protocols, and best practices defined by the Senior AI Architect and the CoE.
• Platform Optimization: Optimize the use of Google Agent Space features and underlying Google Cloud Platform services for agent performance, cost-efficiency, and scalability on a project-by-project basis.
• Component Development & Reusability: Design and, at times, directly contribute to the development of reusable agentic components, libraries, and common services that can be leveraged across multiple agents within the Bluefield framework.
• Technical Problem Solving: Provide technical expertise and troubleshooting support for complex architectural or integration challenges encountered by Generative AI Engineers during agent development and deployment.
• System Integration: Oversee and guide the technical integration of newly developed agents with existing enterprise systems, databases, and external APIs, ensuring robust and secure connections.
• Collaborates with enterprise data governance, AI governance and risk partners to ensure architecture aligns with governance, security, privacy, regulatory standards, and model risk management.
• Build strong relationships with Enterprise Architecture teams to ensure solutions meet technical constraints.
• Proof of Concepts (POCs) & Prototyping: Lead or significantly contribute to technical POCs and prototypes for new agentic capabilities or technologies, validating feasibility and informing design decisions for the Senior AI Architect.
• Documentation: Create and maintain detailed technical documentation for specific agent architectures, design decisions, integration points, and deployment configurations.
• Technical Review & Quality Assurance: Participate in code reviews, design reviews, and architectural assessments to ensure the technical quality, maintainability, and scalability of agent solutions before deployment.
• Mentorship (Engineers & Data Engineers): Provide technical guidance and mentorship to more junior Generative AI Engineers, helping them understand and implement architectural principles effectively.
• Scope: The AI Architect focuses on the architecture of specific solutions and projects, while the Senior AI Architect is responsible for the overall enterprise-wide AI/agentic architectural vision and strategic direction.
• Decision-Making: The AI Architect makes design decisions within the established architectural framework, whereas the Senior AI Architect defines and evolves that framework.

What You Bring

• Overall, 10 + years of IT Experience. 5+ years solution architecture
• 3+ years of solution implementation expertise with REST/SOAP API's
• 5+ years hands-on experience with programming language such as C#, Java, SQL, Python etc
• Extensive experience in data architecture, data engineering, or enterprise architecture, with leadership responsibility in large scale, complex environments.
• Strong background in enterprise data platforms, including cloud-based data lakes, warehouses, and integration architectures.
• Implementing data structures, algorithms, and software engineering principles to meet technical requirements of projects; utilizing data platforms including Snowflake to process and analyze large datasets for actionable insights; utilizing cloud-native tools including AWS to optimize performance and scale resources
• Experience to build a "Semantic Store" so that AI agents and business users share a single version of truth for metrics and definitions.
• Snowflake AI features: Cortex, Snowpark, and native AI/ML capabilities within the existing data platform
• Agentic Patterns & Frameworks: Hands-on experience with common agentic design patterns such as RAG, orchestrator–worker, planner–executor, and collaborative multi-agent architectures
• Architect solutions to ingest, store, and index unstructured data (PDFs, images, audio) using Vector Databases for Retrieval-Augmented Generation (RAG).
• Agent Communication & Protocols: Proficient in MCP (Model Context Protocol) and A2A (agent-to-agent) standards for interoperable, distributed agent systems
• Implementing data structures, algorithms, and software engineering principles to meet technical requirements of projects; utilizing data platforms including Snowflake to process and analyze large datasets for actionable insights; utilizing cloud-native tools including AWS to optimize performance and scale resources
• Ability to partner effectively with Product Management, Engineering, and Business leaders to translate strategic objectives into coherent architectural strategies
• Security & Compliance: Knowledge of cloud security best practices, data privacy regulations, and governance frameworks

What We Need

The Associate Director of Data Product Management will lead a team of product owners and data analysts, driving the strategy and execution of enterprise data products. This leader will be responsible for maturing the "data-as-a-product" mindset, ensuring that data assets are treated as valuable, reusable, and trusted products that power business decisions, analytics, and AI applications, including Data AI agents.

This role will play a crucial part in our "Data for AI" and "AI for Data" strategy, ensuring we have reliable data to fuel AI innovation while leveraging AI to enhance our data management capabilities. In this highly visible role, the leader will collaborate with business partners, engineering teams, and data governance to define, prioritize, and deliver a roadmap of data capabilities. The Associate Director will be an expert in all facets of data product management, from defining business value and establishing quality SLAs to managing the entire product lifecycle and driving adoption across the user community.

This role is eligible for our Flex Persona. For candidates local to our Boston, MA and Hingham MA offices.

Your Day to Day

Strategy & Vision

• Lead and oversee the development and delivery of data products using product management principles and an agile framework.
• Drive the Data Product Management team's strategy and vision, aligning the data product roadmap with enterprise goals and staying current with market trends and customer needs.
• Define and execute the product strategy for advanced data capabilities, including AI-driven data products and AI data agent as a data product.
• Evangelize the value of data products to drive adoption and a data-driven culture across the business and user communities.

Team Leadership & Management

• Lead, coach, and mentor a team of Product Owners, including those focused on user support and communications.
• Manage and mentor junior data product owners to adopt agile processes for building and delivering high-quality data products.
• Serve as the owner and escalation point for the data product management team, resolving blockers and addressing issues promptly.

Product Lifecycle & Delivery

• Drive product vision, identification of business value, product road-mapping, and delivery of data products for all applications and platforms.
• Establish and enforce a prioritization framework for data and it’s AI initiatives based on business value, feasibility, reusability, and compliance risk.
• Define clear entry/exit criteria for data products, ensuring they have recurring business value, designated ownership, and meet enterprise-ready standards for quality, lineage, and documentation.
• Manage the team backlog, define epics and user stories, and ensure visibility to business partners and leadership.

We’re Looking for

• Minimum 8 years of progressive work experience in data management, product management, or a related field, with a focus on data, digital, or API products.
• Minimum 4 years of experience leading and mentoring teams of product managers, product owners, or analysts.
• Experience in executive translation & business acumen in proving ability to synthesize complex operational concepts into high-impact business insights, collaborating directly with senior leadership to drive strategic alignment and decision-making.
• Proven experience in designing, developing, and managing products through all phases of the lifecycle, from ideation to decommissioning.
• Expertise in agile delivery frameworks and tools (e.g., Jira, Confluence).
• Deep understanding of data governance, data quality, and metadata management principles.
• Strong experience working with SQL or NoSQL databases and understanding of modern data architecture (e.g., data lake, data warehouse, microservices).
• Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to both business and technical audiences.
• Exposure to AI concepts with regards to building Data AI agents and AI SD