AI Architect Jobs in Massachusetts
AI Architect jobs in Massachusetts are among the most active in the country, concentrated in enterprise technology, financial services, life sciences, and defense, with openings at every level from associate to principal. The heaviest hiring is in Boston, Cambridge, and the Route 128 corridor, where companies like Raytheon Technologies, Liberty Mutual, and Mass General Brigham consistently bring on ai architects. The most in-demand specialties right now are large language model integration, MLOps infrastructure, and responsible AI governance. Find a role that fits below and apply directly.
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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 SDLC is highly desirable
Healthcare domain knowledge is a significant plus
What You Bring
Knowledge of the Healthcare payer domain.
Solution Architect Associate certification (preferably in GCP or AWS).
Bachelor’s degree or higher in Computer Science or related field.
#LI-HYBRID
Minimum Education Requirements:
High school degree or equivalent required unless otherwise noted above
Location Boston Time Type Full time
Salary Range: $175,860.00 - $214,940.00
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.
WHY Blue Cross Blue Shield of MA?
We understand that the confidence gap and imposter syndrome can prevent amazing candidates coming our way, so please don’t hesitate to apply. We’d love to hear from you. You might be just what we need for this role or possibly another one at Blue Cross Blue Shield of MA. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be brilliant. We encourage you to bring us your true colors, , your perspectives, and your experiences. It’s in our differences that we will remain relentless in our pursuit to transform healthcare for ALL.
As an employer, we are committed to investing in your development and providing the necessary resources to enable your success. Learn how we are dedicated to creating an inclusive and rewarding workplace that promotes excellence and provides opportunities for employees to forge their unique career path by visiting our Company Culture page. If this sounds like something you’d like to be a part of, we’d love to hear from you. You can also join our Talent Community to stay “in the know” on all things Blue.
At Blue Cross Blue Shield of Massachusetts, we believe in wellness and that work/life balance is a key part of associate wellbeing. For more information on how we work and support that work/life balance visit our " How We Work " Page.
See All 39 AI Architect Jobs in Massachusetts
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Find AI Architect JobsAI Architect Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
AI Architect Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring


Top Industries Hiring
- Energy
- Insurance
- Electronics & Hardware
- Manufacturing
- Law & Legal Services
What Massachusetts Employers Look For
The qualifications that appear most often in AI architect jobs across Massachusetts.
- Bachelor's or master's degree in computer science, data science, or a related engineering field
- Demonstrated experience designing and deploying enterprise-scale machine learning or generative AI systems
- Proficiency with cloud platforms such as AWS, Azure, or Google Cloud and their native AI services
- Experience with MLOps tooling, model versioning, and production model monitoring at scale
- Strong grasp of data architecture, APIs, and integration patterns that support AI pipeline development
- Familiarity with responsible AI frameworks, model governance, and security standards relevant to regulated industries
AI Architect Jobs in Massachusetts: Frequently Asked Questions
How do you become a ai architect in Massachusetts?
There is no state-issued license required to work as an ai architect in Massachusetts. The standard path is a bachelor's degree in computer science, data science, or engineering, followed by several years working as a data scientist, ML engineer, or software architect before moving into an architect role. Massachusetts employers strongly favor candidates who can show hands-on experience with production AI systems, and vendor certifications from AWS, Google Cloud, or Microsoft Azure carry real weight in local hiring decisions.
How much do AI architects make in Massachusetts?
AI architects in Massachusetts earn a median of about $109,590 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $55,740 for the lowest 10% to over $183,460 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai architects in Massachusetts?
Employers hiring ai architects in Massachusetts right now include State Street, Bose, and Velaura, based on current listings on Migrate Mate as of November 2026. Massachusetts's concentration of financial services firms, defense contractors, and academic medical centers means demand stays consistent across sectors well beyond pure tech.
Which Massachusetts cities have the most ai architect jobs?
Boston, Quincy, and Massachusetts have the most ai architect openings in Massachusetts. Boston and Cambridge anchor the market through their density of financial firms, biotech companies, and research institutions, while the Route 128 corridor around Waltham and Burlington draws significant hiring from defense and enterprise software employers with major regional campuses there.
Are there remote ai architect jobs in Massachusetts?
Yes, and more than most fields. About 57% of ai architect openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting how much of the work involves system design, documentation, and cloud-based development rather than on-site infrastructure. The most fully remote openings tend to cluster around advisory and governance-focused architect roles, while hands-on platform build roles more often require some in-office presence.
How can I get hired as a ai architect in Massachusetts with little or no experience?
The most realistic entry point is a machine learning engineer or data engineer role at a Massachusetts employer, then building toward architect responsibilities from within. Large organizations like Mass General Brigham, State Street, and Raytheon Technologies run structured rotational or new-graduate technology programs that place candidates into AI or data engineering tracks. Building a portfolio of deployed projects on public cloud platforms and earning an associate-level AWS or Azure certification gives candidates a concrete edge when applying for these entry-level positions.
Where can I find and apply to ai architect jobs in Massachusetts?
You can find and apply to ai architect jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings across industries and experience levels. Find roles that fit your background and apply directly.
See All 39 AI Architect Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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