AI Engineer Jobs in Massachusetts
AI Engineer jobs in Massachusetts are among the most active in the country, concentrated in life sciences AI, enterprise software, robotics, and defense technology across seniority levels from entry-level to principal. Boston, Cambridge, and Burlington are the state's primary hiring centers, home to long-established employers like MathWorks, Raytheon Technologies, and IBM. The most in-demand specializations are large language model development, MLOps, and computer vision. Find a role that fits below and apply directly.
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The National Fire Protection Association’s mission is to help save lives and reduce loss with information, knowledge, and passion. Established in 1896, we are dedicated to the elimination of death, injury, and property and economic loss due to fire, electrical, and related hazards. The Association delivers information and knowledge through more than 300 consensus codes and standards, research, training, education, outreach and advocacy; and by partnering with others who share an interest in furthering the NFPA mission.
To better meet the needs of those who rely on our information and knowledge to keep people and property safe, we are amidst a transformation to expand our influence and further our safety mission. We are becoming increasingly digital and global to grow, thrive, and save more lives from fire, electrical, and other hazards. To accomplish this, we need effective leaders at all levels of the Association who understand what we are striving for, why it is important, and how to execute our vision and who passionately want to see NFPA through this important stage. It is an exciting and empowering time to work at NFPA.
To support NFPA’s growing business needs and digital transformation, the Senior Software Engineer – AI is responsible for developing, maintaining, and enhancing CASI, NFPA’s AI system, and other related AI systems and the applications that leverage them. This role participates throughout the software development lifecycle and collaborates with software developers, business analysts, architects, vendors, partners, and teams across the organization.
The position requires senior-level technical expertise in generative AI, Microsoft technologies, Azure cloud services, application architecture, and software engineering to deliver scalable, reliable, and maintainable solutions that support NFPA’s mission and organizational goals.
Primary Duties/Responsibilities
- Design, develop, test, maintain, and improve AI systems and web-based business applications.
- Develop and support generative AI solutions, including RAG systems, agentic workflows, tool calling, agents and skills, prompt and context engineering, MCP servers, vector databases, semantic search, and large-scale document ingestion and retrieval.
- Integrate software systems, application components, and third-party programs.
- Collaborate with software developers, business analysts, software architects, vendors, and other stakeholders to plan, design, develop, test, and maintain applications.
- Apply application architecture knowledge to guide technical decision-making and problem-solving.
- Design and implement observable, high-throughput RESTful APIs and integrations.
- Produce clean, efficient, well-designed, and testable code based on established specifications and standards.
- Design, develop, and unit test applications in accordance with established development standards.
- Participate in code reviews and mentor and assist other developers in applying software development best practices.
- Analyze, troubleshoot, and resolve technical and application issues.
- Develop and maintain technical documentation to support current and future software development projects.
- Work effectively within legacy application architectures when required.
- Collaborate across teams to meet changing priorities and deadlines while proactively identifying issues and developing long-term solutions.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field/or proven equivalent experience demonstrating the skills and knowledge required for the role.
- Minimum of seven years of demonstrated experience working with the Microsoft technology stack, including C#, .NET Core, Web API, SQL Server, and Azure cloud infrastructure.
- Minimum of three years of experience with generative AI technologies is required, including RAG, tool calling, agents and skills, prompt and context engineering, vector databases, semantic search, MCP, and large-scale document ingestion and retrieval systems.
Required Skills
- Microsoft stack: C#, .NET Core, Web API, SQL server
- Azure cloud services: AI search, OpenAI, Azure AI Foundry, App Services, Queue Storage, Durable Functions
- AI concepts and technologies such as agentic workflows, skills, and MCP servers
- RAG systems using vector databases and semantic search
- Large scale document ingestion and retrieval
- RESTful APIs, JSON
- Azure B2C or similar identity management platforms, such as Okta or Auth0
- Docker, CI/CD pipelines, and Azure DevOps
- Git and Bitbucket
Preferred but Not Required Skills
- JavaScript ES6, HTML 5, CSS V3+
- NextJS/Vercel
- ReactJS including workflows like Redux or Flux
- Node.js/NPM, TypeScript
- Coveo/Atomic
- AWS cloud services and architecture
- Cloud-based integration platforms
The position is remote with occasional in-person visits for group or company meetings. The standard workday is 7.5 hours, with scheduling flexibility based on location; working hours fall primarily within Eastern Time business hours (8:00 a.m.–6:00 p.m.).
National Fire Protection Association provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Salary ranges at NFPA are set by role and level, based on current competitive market data. Final compensation is determined by a combination of factors, including the specific skills, relevant experience, education, and training you bring to the role, as well as internal equity and business needs. For candidates whose qualifications align well with the role’s requirements and expectations, offers are often made toward the minimum of the posted range. Exceptional qualifications or unique circumstances may result in placement higher in the range. NFPA is committed to fair, competitive pay and offers a strong total rewards package, including comprehensive benefits. Min $101,218.00 - Max $172,049.00
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Where Massachusetts roles are concentrated, by current openings.
AI Engineer Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software14
- Biotechnology & Pharmaceuticals5
- Consulting & Professional Services4
- Banking & Financial Services3
- Law & Legal Services2
What Massachusetts Employers Look For
The qualifications that appear most often in AI engineer jobs across Massachusetts.
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Proficiency in Python and experience with frameworks such as TensorFlow or PyTorch
- Demonstrated experience building, training, and deploying production machine learning models
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud for ML workloads
- Experience with MLOps practices including model monitoring, versioning, and pipeline automation
- Strong communication skills to translate model outputs and findings for non-technical stakeholders
AI Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a ai engineer in Massachusetts?
There is no state-issued license required to work as an ai engineer in Massachusetts. Most employers expect a bachelor's degree in computer science, mathematics, or a closely related field, with a master's degree increasingly preferred for senior roles. Massachusetts's dense research university ecosystem, including MIT, Northeastern, and UMass Amherst, produces a large share of local candidates and many employers actively recruit from these institutions and their affiliated research labs.
Which companies hire ai engineers in Massachusetts?
Employers hiring ai engineers in Massachusetts right now include Lila Sciences, Moderna, and LangChain, based on current listings on Migrate Mate as of September 2026. Massachusetts's mix of established defense contractors, life sciences technology firms, and enterprise software companies makes it one of the more diversified ai engineering markets on the East Coast.
Which Massachusetts cities have the most ai engineer jobs?
Boston, Cambridge, and Waltham have the most ai engineer openings in Massachusetts. The Boston and Cambridge corridor drives the bulk of demand, anchored by university research institutions, biotech firms along Route 128, and major enterprise technology campuses, while Burlington and Waltham attract openings from established defense and software employers headquartered in those suburban corridors.
Are there remote ai engineer jobs in Massachusetts?
Yes, and more than most fields. About 81% of ai engineer openings tied to Massachusetts are remote or hybrid as of September 2026, reflecting that most of the core work involves writing code, training models, and analyzing data rather than being physically on-site. Model evaluation, research, and data pipeline work tend to be the most remote-compatible parts of the role.
How can I get hired as a ai engineer in Massachusetts with little or no experience?
The most realistic entry path is a machine learning or data science role that involves model development, since many Massachusetts employers including large life sciences and defense technology firms treat these as feeder positions into dedicated ai engineering teams. Building a portfolio of deployed projects on GitHub, completing a master's program at a Massachusetts research university, or contributing to open-source ML tooling are the credentials that most consistently open doors when formal experience is limited.
Where can I find and apply to ai engineer jobs in Massachusetts?
You can find and apply to ai engineer jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings. Find roles that fit your background and apply directly to the ones that match.
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