AI Solution Architect

Blue Cross Blue Shield of Massachusetts • Boston, MA

6d • $175,860 - $214,940 • Hybrid

About The Position

The AI Solution Architect contributes to the evolution of the company-wide AI, Data & Analytics platform and helps shape the next-generation data platform using Snowflake, AWS, GCP, and AI technologies. As part of the Data Analytics & Insights team, the role designs and delivers scalable, high-performance solutions that support data and AI initiatives across the organization. The position focuses on the architecture of specific AI solutions and projects, working within the broader architectural vision set by the Senior AI Architect. It is eligible for the Flex persona, with candidates local to the Boston or Hingham, Massachusetts offices preferred.

Requirements

• 10 or more years of overall IT experience.
• 5 or more years of solution architecture experience.
• 3 or more years of solution implementation experience with REST/SOAP APIs.
• 5 or more years of hands-on experience with a programming language such as C#, Java, SQL, or Python.
• 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.
• Experience implementing data structures, algorithms, and software engineering principles to meet project technical requirements.
• Experience using Snowflake to process and analyze large datasets, and cloud-native tools including AWS to optimize performance and scale resources.
• Experience building a semantic store that enables AI agents and business users to share a single version of truth for metrics and definitions.
• Experience with Snowflake AI features, including Cortex, Snowpark, and native AI/ML capabilities.
• Hands-on experience with agentic design patterns such as RAG, orchestrator–worker, planner–executor, and collaborative multi-agent architectures.
• Ability to architect solutions to ingest, store, and index unstructured data such as PDFs, images, and audio using vector databases for RAG.
• Proficiency in MCP (Model Context Protocol) and A2A (agent-to-agent) standards for interoperable, distributed agent systems.
• Ability to partner effectively with Product Management, Engineering, and Business leaders to translate strategic objectives into architectural strategies.
• Knowledge of cloud security best practices, data privacy regulations, and governance frameworks.
• Bachelor’s degree or higher in Computer Science or a related field.
• High school degree or equivalent required unless otherwise noted above.

Nice To Haves

• Knowledge of the healthcare payer domain.
• Solution Architect Associate certification, preferably in GCP or AWS.

Responsibilities

• Design technical solutions and blueprints for individual AI agents or modules, including data flows, API integrations, and component interactions within Google Agent Space.
• Ensure agent development adheres to architectural patterns, coding standards, security protocols, and best practices established by the Senior AI Architect and the CoE.
• Optimize Google Agent Space features and Google Cloud Platform services for performance, cost-efficiency, and scalability.
• Design and contribute to reusable agentic components, libraries, and common services for use across multiple agents within the Bluefield framework.
• Provide technical expertise and troubleshooting support for complex architecture and integration challenges encountered during agent development and deployment.
• Guide integration of agents with enterprise systems, databases, and external APIs, ensuring robust and secure connections.
• Collaborate with enterprise data governance, AI governance, and risk partners to align architecture with governance, security, privacy, regulatory standards, and model risk management.
• Build relationships with Enterprise Architecture teams to ensure solutions meet technical constraints.
• Lead or contribute significantly to technical proofs of concept and prototypes for agentic capabilities or technologies, validating feasibility and informing design decisions.
• Create and maintain technical documentation for agent architectures, design decisions, integration points, and deployment configurations.
• Participate in code reviews, design reviews, and architectural assessments to ensure solution quality, maintainability, and scalability before deployment.
• Provide technical guidance and mentorship to junior Generative AI Engineers.
• Make design decisions within the established architectural framework; the Senior AI Architect defines and evolves that framework and its enterprise-wide strategic direction.

Benefits

• Paid time off.
• Medical insurance.
• Dental insurance.
• Vision insurance.
• 401(k).
• Well-being benefits.
• Variable pay eligibility.
• Employee development resources and opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior