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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DESCRIPTION
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Science Manager with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to lead a team ensuring the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.
Key job responsibilities
As part of the AGI team, an Applied Science Manager will lead and mentor a team of Applied Scientists who develop comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. The manager will guide the team in designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that align with core scientist team developing Amazon Nova models. The Applied Science Manager will oversee expert-level manual audits, meta-audits to evaluate auditor performance, and provide coaching to uplift overall quality capabilities across the team. A critical aspect of this role involves managing the development and maintenance of LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Science Manager will also oversee the configuration of data collection workflows and ensure effective communication of quality feedback to stakeholders. The manager will have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.
The Applied Science Manager will be responsible for recruiting, hiring, and developing team members, conducting performance reviews, setting clear expectations and growth plans, and fostering a culture of scientific excellence and innovation. The manager will communicate with senior leadership, cross-functional technical teams, and customers to collect requirements, describe product features and technical designs, and articulate product strategy.
A day in the life
An Applied Science Manager with the AGI team will lead quality solution design, guide root cause analysis on data quality issues, drive research into new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. The manager will work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice. The manager will also conduct regular 1:1s with team members, provide mentorship and coaching, and ensure the team delivers high-impact results aligned with organizational goals.
BASIC QUALIFICATIONS
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
PREFERRED QUALIFICATIONS
- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, Boston - 183,800.00 - 248,700.00 USD annually
USA, WA, BELLEVUE - 183,800.00 - 248,700.00 USD annually
See All 32 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
- Insurance
- Energy
- Law & Legal Services
- Technology & Software
- Electronics & Hardware
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 Amazon, State Street, and Velaura, based on current listings on Migrate Mate as of September 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 Cambridge 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 50% of ai architect openings tied to Massachusetts are remote or hybrid as of September 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 32 AI Architect Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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