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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UpToDate is a trusted global clinical decision support platform used by clinicians around the world. UpToDate Expert AI builds on that foundation with production-grade, responsible AI that supports better decision-making inside everyday clinical workflows.
We are looking for a Lead Technical Product Manager to lead the delivery of APIs, integrations, and embedded applications that bring UpToDate intelligence into the broader healthcare ecosystem. This includes APIs used by third-party products and applications embedded in existing clinical tools such as electronic health record systems.
Working within the API operating model, you will own execution and outcomes for a defined product area, partner with platform and engineering teams, and serve as the portfolio’s go-to product expert for integrations. Success means delivering capabilities that are adopted by partners, reliable in production, easy to integrate, and supportive of business growth.
Working within the API operating model and the strategic direction established by product leadership, you will lead day-to-day execution for a defined product area, partner closely with platform and engineering teams, and serve as a key integration product resource across the portfolio. Success means helping deliver capabilities that are adopted by partners, reliable in production, easy to integrate, and supportive of business growth.
RESPONSIBILITIES
- Own execution and outcomes for defined API, integration, embedded application, and agentic AI capabilities.
- Lead the delivery of APIs that enable third-party products and partners to integrate UpToDate intelligence.
- Lead the delivery of applications that embed UpToDate Expert AI into existing clinical tools, including electronic health record systems.
- Translate partner, product, and clinical workflow needs into clear product and platform requirements.
- Recommend and manage roadmap sequencing, dependencies, and tradeoffs for the assigned product area.
- Serve as the portfolio’s integration product expert, advising other product teams on integration approaches and shared platform capabilities.
- Apply and improve standards for API governance, lifecycle management, versioning, reliability, and developer experience.
- Define requirements for AI quality, safety, evaluation, monitoring, and operational readiness.
- Partner closely with Engineering, Architecture, Data, Security, Privacy, Legal, and other enterprise stakeholders.
- Communicate priorities, decisions, dependencies, and risks clearly to senior leaders and cross-functional teams.
- Identify recurring partner needs and turn them into reusable capabilities, reference patterns, templates, and self-service tools, reducing one-off engineering.
- Own the discovery, technical readiness, sandbox onboarding, testing, launch, production monitoring, upgrades, and deprecation.
QUALIFICATIONS:
Required
- 6+ years delivering complex software products from problem definition through launch and iteration.
- Experience owning execution and outcomes for a platform, API, integration, or other technical product area.
- Strong technical fluency in APIs, distributed systems, authentication and authorization, reliability, SLAs and SLOs, and cloud architecture.
- Experience building developer-facing integration capabilities, including APIs, SDKs, documentation, versioning strategies, or sandbox environments.
Experience using Jira, Confluence, and GitHub to manage product backlogs, document requirements and decisions, and collaborate effectively with different internal teams.
- Experience delivering products that integrate into enterprise or clinical workflows.
- Experience shipping production AI-enabled capabilities, including approaches to evaluation, monitoring, guardrails, and operational readiness.
- Strong product judgment in regulated or high-trust environments.
- Ability to lead through influence across technical and business stakeholders.
Preferred
- Technical background in software engineering, architecture, SRE, or B2B platform development.
- Experience in healthcare, electronic health record integrations, interoperability standard such as SMART on FHIR, or another regulated domain.
Experience with healthcare interoperability and electronic health record integrations, including technologies such as SMART on FHIR, OAuth 2.0, or OpenID Connect
- Familiarity with AI observability, evaluation pipelines, or AI incident response.
Our Interview Practices
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
Compensation:
This role is eligible for Bonus.
Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.
Additional Information:
Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.
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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
- Insurance
- Law & Legal Services
- Technology & Software
- Healthcare & Medical Services
- Biotechnology & Pharmaceuticals
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 Mirantis, Brandeis University, and Plymouth Rock Assurance, based on current listings on Migrate Mate as of November 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 Waltham 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 November 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 25 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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