AI Product Engineer Jobs in Massachusetts
AI Product Engineer jobs in Massachusetts are in strong demand, concentrated in biotechnology, fintech, defense technology, and enterprise software, with openings ranging from entry-level associate roles through senior and staff positions. Boston, Cambridge, and Burlington are the primary hiring centers, home to established employers such as MathWorks, Raytheon Technologies, and athenahealth that maintain lasting ai product engineering teams. The most sought-after specialties in Massachusetts include machine learning platform development, AI-integrated product lifecycle tooling, and natural language processing applications. Find a role that fits below and apply directly.
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About AISI
AI Strategy & Innovation (AISI) sits at the centre of AstraZeneca's R&D AI transformation. Our remit is to build, buy and deliver the AI models and agents that change pipeline outcomes, across discovery, translational science, biomarkers and clinical development.
Role Summary
AstraZeneca is building agentic AI products that take work out of clinical development and clinical operations, starting with automating site-monitoring reports and data review for clinical research associates. We are seeking a Product Line Lead, Clinical & Agentic AI, to own the product line that takes these agents from proof of concept to GxP-validated use, and to set the direction of the agentic AI platform layer that supports them.
You will lead product ownership across the line, including the product owner for the clinical research associate (CRA) agent, and set priorities, lifecycle gates and decision rights between product and engineering. You will make sure each product is built with the data access, human oversight and validation evidence that regulated clinical settings require, from the start. You will also guide how the platform layer evolves as enterprise AI assistants take on more of AstraZeneca's everyday agentic work, including which use cases still need a purpose-built, governed platform because of patient data.
You will work with clinical development and operations leaders, AI scientists and engineers, R&D IT, Enterprise AI platform teams, Quality, and external delivery partners. This line is early in its life and the platform landscape is changing. We are looking for someone who is decisive, comfortable with ambiguity, and credible with both clinical and engineering audiences.
Accountabilities:
Product Line Strategy and Roadmap
- Define and own the strategy, roadmap and success measures for the clinical and agentic AI product line, tied to AISI's must-win outcomes and the multi-year plan.
- Decide what to start, scale, merge or stop across the line, using clear lifecycle gates and evidence of value.
- Define and maintain decision rights between product and engineering (product decides what and why; engineering decides how), and make them hold in practice.
- Keep one current view of the line's portfolio, funding, cost and risk, and report on it to AISI leadership.
Leading Product Owners and Delivery
- Direct and develop the product owners on the line, starting with the CRA agent product owner. Make sure every product has an accountable owner, a roadmap, a backlog and a value case.
- Work with engineering leaders and external delivery partners to clear blockers, including data access, environments and integration dependencies.
- Set the operating rhythm (planning, reviews, stage gates) so that delivery scales as the line grows.
Clinical Agentic Products
- Own the path of the CRA agent from proof of concept through silent pilot to GxP-validated release, including sign-off from business owners across therapeutic and operational areas.
- Translate clinical operations needs into product requirements and measurable outcomes, such as monitoring effort saved and trial capacity gained.
- Make human-in-the-loop design, auditability and validation planning product requirements from the first release.
Agentic Platform Direction
- Set the product direction for the agentic platform layer used by R&D, and recommend where to build, buy, adopt or retire platforms.
- Define and defend the boundary for patient data and regulated use: which use cases need a governed, purpose-built platform, and which can run on enterprise assistants.
- Lead the transition plan and user communications when platforms change, working with Enterprise AI and IT partners.
Governance, Compliance and Quality
- Work with Quality, Compliance and Data Privacy so that products meet GxP computerised system validation, data privacy and AI governance requirements.
- Own the line's risk register and raise issues early, including security findings and control gaps.
- Support audit and inspection readiness for the line's products and processes.
Financial and Vendor Stewardship
- Keep cost visible across headcount, contractors, cloud compute and model usage, and contribute to planning cycles.
- Manage vendor and outsourced delivery partners to agreed scope, quality and cost.
Cross-Functional Collaboration
- Build strong relationships with clinical development and operations leaders, AISI science teams, Enterprise AI and R&D IT.
- Communicate clearly about readiness, trade-offs and uncertainty so that leaders can make decisions.
Essential Skills/Experience:
Education
- At least a Master's degree or PhD in life sciences, data science, computer science, engineering or a related field. An advanced degree is desirable.
Experience
- 10 or more years of experience in product management or product leadership, including leading other product owners or managers.
- Experience in pharmaceutical, biotechnology or other regulated healthcare technology settings.
- Track record of taking a product from proof of concept to validated production use in a regulated environment.
- Working knowledge of clinical development or clinical operations processes, such as site monitoring and clinical data review.
- Familiarity with agentic and LLM-based products, and with how to evaluate their quality and risk.
- Understanding of GxP computerised system validation and data privacy requirements.
- Experience managing budgets and outsourced delivery partners.
- Proven ability to make and communicate prioritisation decisions across senior stakeholders.
Desirable Skills/Experience:
- Experience with clinical systems such as EDC and CTMS.
- Experience with platform product management and build, buy or adopt decisions.
- Working knowledge of Atlassian tools (JIRA, Confluence).
The annual base pay (or hourly rate of compensation) for this position ranges from $181,570.4 to $ 272,355.6 USD. Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.
AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing AZCHumanResources@astrazeneca.com.
Why AstraZeneca:
Join a place where you are trusted to take ownership and move fast, combining scientific rigor with data-driven operations to deliver therapies that change lives. You will work shoulder-to-shoulder with unexpected teams in the same room, unleashing bold thinking to solve complex logistics challenges at scale. We champion curiosity and decisive action, value kindness alongside ambition, and empower you with the tools, partnerships, and freedom to shape how living medicines reach patients across the world.
Call to Action:
Lead the global nerve center of cell therapy logistics and build the systems, teams, and partnerships that move cures to patients faster—bring your expertise and make your mark.
Where can I find out more?
- Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
- Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/
- Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en
- Our US Footprint: Powering Scientific Innovation - YouTube
#LI-Hybrid
Date Posted
30-Oct-2026Closing Date
29-Nov-2026Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
About AISI
AI Strategy & Innovation (AISI) sits at the centre of AstraZeneca's R&D AI transformation. Our remit is to build, buy and deliver the AI models and agents that change pipeline outcomes, across discovery, translational science, biomarkers and clinical development.
Role Summary
AstraZeneca is building agentic AI products that take work out of clinical development and clinical operations, starting with automating site-monitoring reports and data review for clinical research associates. We are seeking a Product Line Lead, Clinical & Agentic AI, to own the product line that takes these agents from proof of concept to GxP-validated use, and to set the direction of the agentic AI platform layer that supports them.
You will lead product ownership across the line, including the product owner for the clinical research associate (CRA) agent, and set priorities, lifecycle gates and decision rights between product and engineering. You will make sure each product is built with the data access, human oversight and validation evidence that regulated clinical settings require, from the start. You will also guide how the platform layer evolves as enterprise AI assistants take on more of AstraZeneca's everyday agentic work, including which use cases still need a purpose-built, governed platform because of patient data.
You will work with clinical development and operations leaders, AI scientists and engineers, R&D IT, Enterprise AI platform teams, Quality, and external delivery partners. This line is early in its life and the platform landscape is changing. We are looking for someone who is decisive, comfortable with ambiguity, and credible with both clinical and engineering audiences.
Accountabilities:
Product Line Strategy and Roadmap
- Define and own the strategy, roadmap and success measures for the clinical and agentic AI product line, tied to AISI's must-win outcomes and the multi-year plan.
- Decide what to start, scale, merge or stop across the line, using clear lifecycle gates and evidence of value.
- Define and maintain decision rights between product and engineering (product decides what and why; engineering decides how), and make them hold in practice.
- Keep one current view of the line's portfolio, funding, cost and risk, and report on it to AISI leadership.
Leading Product Owners and Delivery
- Direct and develop the product owners on the line, starting with the CRA agent product owner. Make sure every product has an accountable owner, a roadmap, a backlog and a value case.
- Work with engineering leaders and external delivery partners to clear blockers, including data access, environments and integration dependencies.
- Set the operating rhythm (planning, reviews, stage gates) so that delivery scales as the line grows.
Clinical Agentic Products
- Own the path of the CRA agent from proof of concept through silent pilot to GxP-validated release, including sign-off from business owners across therapeutic and operational areas.
- Translate clinical operations needs into product requirements and measurable outcomes, such as monitoring effort saved and trial capacity gained.
- Make human-in-the-loop design, auditability and validation planning product requirements from the first release.
Agentic Platform Direction
- Set the product direction for the agentic platform layer used by R&D, and recommend where to build, buy, adopt or retire platforms.
- Define and defend the boundary for patient data and regulated use: which use cases need a governed, purpose-built platform, and which can run on enterprise assistants.
- Lead the transition plan and user communications when platforms change, working with Enterprise AI and IT partners.
Governance, Compliance and Quality
- Work with Quality, Compliance and Data Privacy so that products meet GxP computerised system validation, data privacy and AI governance requirements.
- Own the line's risk register and raise issues early, including security findings and control gaps.
- Support audit and inspection readiness for the line's products and processes.
Financial and Vendor Stewardship
- Keep cost visible across headcount, contractors, cloud compute and model usage, and contribute to planning cycles.
- Manage vendor and outsourced delivery partners to agreed scope, quality and cost.
Cross-Functional Collaboration
- Build strong relationships with clinical development and operations leaders, AISI science teams, Enterprise AI and R&D IT.
- Communicate clearly about readiness, trade-offs and uncertainty so that leaders can make decisions.
Essential Skills/Experience:
Education
- At least a Master's degree or PhD in life sciences, data science, computer science, engineering or a related field. An advanced degree is desirable.
Experience
- 10 or more years of experience in product management or product leadership, including leading other product owners or managers.
- Experience in pharmaceutical, biotechnology or other regulated healthcare technology settings.
- Track record of taking a product from proof of concept to validated production use in a regulated environment.
- Working knowledge of clinical development or clinical operations processes, such as site monitoring and clinical data review.
- Familiarity with agentic and LLM-based products, and with how to evaluate their quality and risk.
- Understanding of GxP computerised system validation and data privacy requirements.
- Experience managing budgets and outsourced delivery partners.
- Proven ability to make and communicate prioritisation decisions across senior stakeholders.
Desirable Skills/Experience:
- Experience with clinical systems such as EDC and CTMS.
- Experience with platform product management and build, buy or adopt decisions.
- Working knowledge of Atlassian tools (JIRA, Confluence).
The annual base pay (or hourly rate of compensation) for this position ranges from $181,570.4 to $ 272,355.6 USD. Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.
AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing AZCHumanResources@astrazeneca.com.
Why AstraZeneca:
Join a place where you are trusted to take ownership and move fast, combining scientific rigor with data-driven operations to deliver therapies that change lives. You will work shoulder-to-shoulder with unexpected teams in the same room, unleashing bold thinking to solve complex logistics challenges at scale. We champion curiosity and decisive action, value kindness alongside ambition, and empower you with the tools, partnerships, and freedom to shape how living medicines reach patients across the world.
Call to Action:
Lead the global nerve center of cell therapy logistics and build the systems, teams, and partnerships that move cures to patients faster—bring your expertise and make your mark.
Where can I find out more?
- Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
- Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/
- Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en
- Our US Footprint: Powering Scientific Innovation - YouTube
#LI-Hybrid
Date Posted
30-Oct-2026Closing Date
29-Nov-2026Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
See All 50 AI Product Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find AI Product Engineer JobsAI Product Engineer Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
AI Product 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
- Staffing & Recruiting
- Banking & Financial Services
What Massachusetts Employers Look For
The qualifications that appear most often in AI product engineer jobs across Massachusetts.
- Bachelor's or master's degree in computer science, engineering, or a related technical field
- Hands-on experience building and shipping AI or ML-powered product features at scale
- Proficiency with Python and at least one major ML framework such as PyTorch or TensorFlow
- Experience working with product managers and UX teams in an agile development environment
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment
- Strong communication skills for presenting technical tradeoffs to non-engineering stakeholders
AI Product Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a ai product engineer in Massachusetts?
Most ai product engineers in Massachusetts enter the field through a bachelor's or master's degree in computer science, electrical engineering, or a closely related discipline from institutions such as MIT, Boston University, or Northeastern University. There is no state-issued license required for this role in Massachusetts. Employers typically expect a portfolio of shipped AI or ML features, internship experience at a Massachusetts technology or life sciences company, and demonstrated proficiency with modern machine learning tools and cloud infrastructure.
Which companies hire ai product engineers in Massachusetts?
Employers hiring ai product engineers in Massachusetts right now include State Street, ZoomInfo, and athenahealth, based on current listings on Migrate Mate as of November 2026. Massachusetts's dense concentration of biotech, defense technology, and enterprise software companies means demand is distributed across both large anchor employers and well-funded growth-stage firms.
Which Massachusetts cities have the most ai product engineer jobs?
The cities with the most ai product engineer openings in Massachusetts are Boston, Waltham, and Cambridge. Boston and Cambridge drive the majority of listings through their concentration of research universities, venture-backed technology companies, and major corporate headquarters, while suburban hubs like Burlington and Waltham attract demand from established software and defense firms that maintain large engineering campuses along the Route 128 corridor.
Are there remote ai product engineer jobs in Massachusetts?
Yes, and more than most fields. About 59% of ai product engineer openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting how much of the work involves software development, model experimentation, and cross-functional product collaboration that translates well to distributed teams. The portions most likely to remain on-site are early-stage prototyping sprints and team design reviews at companies with strong in-person engineering cultures.
How can I get hired as a ai product engineer in Massachusetts with little or no experience?
The most realistic entry path is through a new-graduate or associate engineer program at a large Massachusetts employer. Companies such as MathWorks, Liberty Mutual, and major Boston-area biotech firms regularly hire recent graduates into rotational or associate product engineering roles. Building a public portfolio of ML projects, contributing to open-source tools, and completing a co-op through Northeastern University's cooperative education program or MIT's undergraduate research program can substitute for direct industry experience when applying to those entry pipelines.
Where can I find and apply to ai product engineer jobs in Massachusetts?
You can find and apply to ai product engineer jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings. Find a role that fits and apply directly from the listing.
See All 50 AI Product Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find AI Product Engineer Jobs