AI Solutions Engineer Jobs in Massachusetts
AI Solutions Engineer jobs in Massachusetts are among the most active in the country, concentrated in enterprise software, financial services, life sciences, and defense technology, with openings at every level from associate through principal. Boston, Cambridge, and Waltham are the primary hiring hubs, where employers like MathWorks, Raytheon Technologies, and HubSpot maintain substantial engineering teams. The most in-demand specialties are large language model integration, MLOps pipeline development, and customer-facing AI product solutioning. 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 23 AI Solutions Engineer Jobs in Massachusetts
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Find AI Solutions Engineer JobsAI Solutions Engineer Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
AI Solutions Engineer Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Insurance
- Law & Legal Services
- Electronics & Hardware
- Healthcare & Medical Services
What Massachusetts Employers Look For
The qualifications that appear most often in AI solutions engineer jobs across Massachusetts.
- Bachelor's or master's degree in computer science, engineering, or a closely related field
- Hands-on experience building and deploying machine learning or generative AI solutions
- Proficiency in Python and familiarity with frameworks such as LangChain, PyTorch, or TensorFlow
- Demonstrated ability to translate complex AI capabilities into solutions for enterprise clients
- Experience with cloud platforms such as AWS, Azure, or Google Cloud in production environments
- Strong communication skills for presenting technical architectures to both technical and business audiences
AI Solutions Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a ai solutions engineer in Massachusetts?
Most ai solutions engineers in Massachusetts enter the field with a bachelor's degree in computer science, software engineering, or a quantitative discipline, and many roles at Boston-area enterprise and defense employers prefer a master's. There is no state-issued license required for this role in Massachusetts. Employers across the Route 128 corridor and the Seaport district consistently prioritize hands-on project experience, a demonstrable portfolio of AI or ML deployments, and cloud certifications from AWS, Microsoft, or Google.
How much do AI solutions engineers make in Massachusetts?
AI solutions engineers in Massachusetts earn a median of about $165,210 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $102,810 for the lowest 10% to over $213,970 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai solutions engineers in Massachusetts?
Employers hiring ai solutions engineers in Massachusetts right now include Amazon, Plymouth Rock Assurance, and Google, based on current listings on Migrate Mate as of September 2026. Massachusetts's concentration of enterprise software firms, defense contractors, and biotech companies means demand for this role is distributed across a wide range of industries rather than clustered in a single sector.
Which Massachusetts cities have the most ai solutions engineer jobs?
Boston, Cambridge, and Needham have the most ai solutions engineer openings in Massachusetts. Boston and Cambridge anchor the market because of their dense cluster of enterprise technology firms, research institutions, and financial services headquarters, while Waltham and Burlington attract openings from the established defense and software companies that have long operated along the Route 128 technology corridor.
Are there remote ai solutions engineer jobs in Massachusetts?
Yes, and more than most fields. About 64% of ai solutions engineer openings tied to Massachusetts are remote or hybrid as of September 2026, reflecting how much of the work involves software development, client solutioning, and architecture design rather than on-site hardware. The portions of the role most commonly offered remotely are pre-sales technical consulting, proof-of-concept development, and model integration work.
How can I get hired as a ai solutions engineer in Massachusetts with little or no experience?
The most realistic entry path is through an associate or junior solutions engineer role at a Massachusetts enterprise software or cloud services company, where many employers run structured new-graduate rotational programs. MathWorks and HubSpot, for example, are known for hiring recent graduates into technical customer-facing engineering tracks. Candidates moving laterally from software developer, data analyst, or technical support roles have a practical advantage, and completing a recognized cloud certification or building a public AI project portfolio significantly strengthens an application at this level.
Where can I find and apply to ai solutions engineer jobs in Massachusetts?
You can find and apply to ai solutions engineer jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings across the Boston metro, the Route 128 corridor, and the broader state. Find roles that fit your experience and apply directly to the ones that match.
See All 23 AI Solutions Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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