AI Data Engineer Jobs in Massachusetts
AI Data Engineer jobs in Massachusetts are in strong demand, with active hiring concentrated in biotechnology, financial services, healthcare technology, and enterprise software sectors at levels from entry-level through senior and staff engineer. Boston, Cambridge, and Waltham are the primary hiring centers, anchored by employers like Amazon Web Services, Fidelity Investments, and Mass General Brigham. The most sought-after specialties in Massachusetts are large language model pipeline development, MLOps infrastructure, and real-time data streaming for clinical and financial applications. Find a role that fits below and apply directly.
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Job Title
Associate Data & AI Engineer - Medical Imaging (Bedford, MA)Job Description
Associate Data & AI Engineer - Medical Imaging (Bedford, MA)
We are seeking a highly motivated Data & AI Engineer to curate, annotate and leverage medical imaging datasets to enable algorithm and model development in support of Philips’ imaging capabilities across multiple clinical modalities to bring cutting‑edge imaging solutions from concept to deployment.
Your role:
- Source, curate, and annotate X-ray coronary angiography datasets to support model development. Use simulated, clinical and phantom data to train and validate segmentation, classification, and reconstruction models.
- Collaborate with clinical, engineering, and data science teams to define imaging‑related algorithmic solutions. Work closely with product managers, clinical partners, and QA to present updates and technical findings.
- Design, implement, and test image‑processing algorithms in Python, Tensorflow and PyTorch, while supporting deployment and integration with a focus on software quality. Troubleshoot and debug performance issues as needed.
- Document code, algorithm designs, and validation methods to ensure transparency and reproducibility. Contribute to regulatory documentation and quality‑assurance workflows related to algorithm development. Explore opportunities to learn GPU/CUDA optimization techniques. Demonstrate continuous improvement and actively share knowledge across teams.
You're the right fit if:
- You earned a bachelor’s or master’s degree in engineering, computer science, physics, mathematics, or biomedical imaging. Exposure to X-ray based coronary angiography is a strong plus.
- You have experience developing algorithms using Python and are highly familiar with deep learning frameworks such as PyTorch and Tensorflow, as well as building GUI-based data annotation and review tools using Tk or Napari.
- You have strong knowledge of signal or image‑processing concepts and numerical methods.
- You have experience quantitatively validating algorithm performance using imaging datasets.
- You leverage your problem‑solving, critical‑thinking, and debugging abilities along with your clear written and verbal communication skills. You have attention to detail, especially in documenting code and technical decisions. You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position .
How we work together:
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities 5 days per week. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
This is an office-based role.
About Philips:
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.
- Learn more about our business .
- Discover our rich and exciting history.
- Learn more about our purpose. Learn more about our culture.
Philips Transparency Details:
The pay range for this position in MA is $100,000 to $158,000
The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.
In addition, other compensation, such as an annual incentive bonus, sales commission or long-term incentives may be offered. Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more. Details about our benefits can be found here .
At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case.
Additional Information:
- US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.
- Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Bedford, MA .
This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration.
Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.
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AI Data Engineer Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Biotechnology & Pharmaceuticals
- Insurance
- Science & Research
- Law & Legal Services
What Massachusetts Employers Look For
The qualifications that appear most often in AI data engineer jobs across Massachusetts.
- Bachelor's or master's degree in computer science, data engineering, or a related technical field
- Hands-on experience building and maintaining machine learning data pipelines at production scale
- Proficiency in Python and SQL with strong familiarity with cloud platforms such as AWS or Azure
- Experience with orchestration tools like Apache Airflow and distributed frameworks such as Spark
- Demonstrated ability to work with large language model ecosystems and vector databases
- Strong collaboration skills for cross-functional teams including data scientists and ML engineers
AI Data Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a ai data engineer in Massachusetts?
A bachelor's degree in computer science, data engineering, or a closely related field is the standard starting point for ai data engineers in Massachusetts. No state-issued license is required. Massachusetts employers, particularly those in the Route 128 technology corridor and the Seaport innovation district, typically look for candidates with a strong portfolio of data pipeline projects, cloud certifications from AWS or Microsoft Azure, and familiarity with ML infrastructure tooling alongside their formal education.
How much do AI data engineers make in Massachusetts?
AI data engineers in Massachusetts earn a median of about $131,750 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $81,030 for the lowest 10% to over $206,220 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai data engineers in Massachusetts?
Employers hiring ai data engineers in Massachusetts right now include Novartis, Boston University, and Merck, based on current listings on Migrate Mate as of November 2026. Massachusetts's dense concentration of life sciences companies, quantitative finance firms, and enterprise software vendors makes it one of the more consistent states for ai data engineering demand outside of major West Coast hubs.
Which Massachusetts cities have the most ai data engineer jobs?
Boston, Cambridge, and Waltham have the most ai data engineer openings in Massachusetts. Boston and Cambridge drive the bulk of demand through their biotech clusters, academic medical centers, and fintech firms, while Waltham and Burlington attract openings from the established enterprise technology companies headquartered along the Route 128 corridor.
Are there remote ai data engineer jobs in Massachusetts?
Yes, and more than most fields. About 63% of ai data engineer openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting how thoroughly the work runs on cloud infrastructure. Pipeline development, model integration, and data platform work are the parts of the role most commonly performed fully remote, while roles tied to regulated healthcare or financial data often require at least some on-site days.
How can I get hired as a ai data engineer in Massachusetts with little or no experience?
The most realistic entry path is moving laterally from a data analyst or software engineering role into ai data engineering by building ML pipeline projects and earning a cloud platform certification. Massachusetts employers like Fidelity Investments and Harvard-affiliated medical institutions run associate and new-graduate technology programs that accept candidates without direct ai engineering experience. Targeting titles like junior data engineer or ML platform associate and assembling a public portfolio on a code repository gives applicants in Massachusetts a concrete edge over those relying on coursework alone.
Where can I find and apply to ai data engineer jobs in Massachusetts?
You can find and apply to ai data engineer jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings updated regularly. Find roles that fit your experience and location preference and apply directly to the employers posting them.
See All 57 AI Data Engineer Jobs in Massachusetts
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