AI Platform Engineer Jobs in Massachusetts
AI Platform Engineer jobs in Massachusetts are among the most active in the country, concentrated in life sciences technology, financial services, and enterprise software, with openings from junior MLOps roles through principal-level platform architects. The deepest hiring activity is in Greater Boston, Cambridge, and the Route 128 corridor, where employers like MathWorks, Biogen, and Fidelity Investments maintain large engineering organizations that depend on scalable AI infrastructure. The most in-demand specialties are LLM deployment pipelines, cloud-native ML platform development, and AI observability tooling. Find a role that fits below and apply directly.
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Showing 5 of 39+ AI Platform Engineer jobs
Location: Any US Office including Boston, MA
LOCATION INFORMATION
In order to be considered for a position, applicants must be legally authorized to work in the location specified without relocation support or visa sponsorship now or in the future, unless explicitly noted otherwise in the position overview. If a position does not specify a location, applicants whose primary residence is a location where JSI is registered to conduct business will be considered:
- U.S. Locations: AZ, AR, CA, CO, CT, FL, GA, HI, IN, IL, LA, ME, MD, MA, MI, MN, NH, NJ, NM, NY, NC, PA, RI, TN, TX, VT, VA, WA, DC, and WI.
- Global Locations: Bangladesh, Benin, Cambodia, Cote d'Ivoire, Democratic Republic of the Congo (DRC), Ethiopia, Haiti, Laos, Madagascar, Mali, Mozambique, Niger, Nigeria, Pakistan, Tanzania, Uganda, and U.S.
Position Category: Direct hire, paid in US
Posting Date: 11/11/2026
Deadline Date: 11/24/2026
Salary Range: $94,774 - $166,270 Commensurate with experience and location.
Description
Organizational overview
JSI is dedicated to strengthening health and education systems to improve the lives of individuals, families, and communities. We believe all people should have what they need to live their healthiest lives and reach their full potential. To accomplish this, JSI works hand-in-hand with government agencies, community organizations, and the private sector to design pragmatic strategies for complex problems. We drive measurable impact in public health, health care, and education to enhance the well-being of people in the United States and around the world.
As a global organization, JSI has designed, delivered, and scaled programs in more than 50 countries worldwide. In the U.S., JSI has worked in evaluation, training and technical assistance, policy, and strategy in all 50 states and has teams in Massachusetts, New Hampshire, Rhode Island, DC, Georgia, Colorado, and California.
Position overview
As part of the Corporate Information Technology team, the AI Engineer serves as an enterprise catalyst for internal AI adoption, connecting technical execution with practical governance. This role designs, builds, and deploys practical AI-driven solutions—including prompt architectures, automated workflows, and light application integrations—to resolve operational bottlenecks across divisions. Blending a hands-on builder mindset with technical oversight, the AI Engineer ensures all internal AI implementations achieve measurable operational efficiencies while adhering to strict safety, security, and ethical standards.
This full-time role reports to the Chief Information Technology Officer and can be located in the U.S. where JSI is registered.
RESPONSIBILITIES
- Creative Problem Solving: Actively seek out complex internal operational challenges across the organization, applying a creative and analytical mindset to design tailored AI interventions that eliminate redundancies and save staff time.
- Prototyping & Development: Design, build, test, and deploy practical AI solutions, including prompt engineering architectures, custom GPTs, workflow automations, and light application integrations via APIs, low-code/no-code platforms, or scripts.
- Implementation & Rollout: Lead end-to-end implementation of approved AI tools, working alongside business unit leads to embed AI into daily workflows and track operational ROI/efficiency gains.
- Access Control & Asset Lifecycle: Define user permissions, data access controls, and usage monitoring protocols across all regional and divisional teams.
People & Influence
- Use Case Discovery: Partner with division leadership to evaluate internal processes and pinpoint high-impact opportunities for AI integration.
- User Enablement: Serve as an internal champion for AI, generating excitement and buy-in across all levels of the organization. Develop internal prompt libraries, standard operating procedures (SOPs), and targeted training programs to elevate AI literacy and adoption across teams.
Thought & Strategy
- AI Strategy: In collaboration with IT leadership develop and execute JSI’s AI strategy, aligning technical initiatives with long-term enterprise goals.
- Environment Architecture & Management: Provide operational oversight of the company’s enterprise AI environment, including vendor platforms (e.g., OpenAI Enterprise, Gemini, Microsoft Copilot, Anthropic), internal tools, and API usage across global sites.
- Vendor & Tool Evaluation: Benchmark, select, and manage relationships with third-party AI vendors, ensuring platform reliability, scalability, alignment with corporate strategy, and cost optimization.
Expertise & Growth
- Framework Enforcement: Establish and enforce guardrails for safe, transparent, and ethical AI deployment across the global organization.
- Data Security Partnership: Collaborate closely with InfoSec and Legal teams to ensure enterprise data remains secure, non-public data is protected from LLM training sets, and output integrity is maintained.
- Stay Current: Maintain subject matter expertise in modern generative AI architectures, retrieval-augmented generation (RAG) concepts, and emerging automation technologies to continuously modernize internal toolkits.
Finance & Resource Management
- Risk & Compliance Reviews: Evaluate prospective AI use cases for data privacy risks, intellectual property concerns, algorithmic bias, and compliance with emerging regional regulations (e.g., EU AI Act, global privacy laws).
- Financial Acumen :Conduct cost-benefit and procurement analyses for off-the-shelf and custom AI tools, tracking quantified labor efficiencies to ensure execution within approved budget parameters.
QUALIFICATIONS
- Bachelor’s degree in Information Technology, Computer Science, Data Analytics, Business Information Systems, a related field, or equivalent practical experience. Formal background or certification in AI Ethics, Enterprise Risk Management, or IT Governance (e.g., CRISC, CGEIT) is preferred.
- 8+ years of relevant, progressive experience in technology deployment, digital transformation, or systems engineering including leadership experience; with 2+ years of direct experience building with and implementing Generative AI tools in an enterprise environment. Experience scaling AI solutions across a global organization with multi-regional compliance needs is preferred.
- Demonstrated track record of identifying business pain points and successfully deploying technology to resolve them; and passion for operational efficiency and creative problem solving.
- Demonstrated skill in prompt engineering, fine-tuning, retrieval-augmented generation (RAG) concepts, and building workflows using modern AI APIs (OpenAI, Anthropic, LangChain, Make/Zapier, or internal platform builders).
- Proficiency in basic scripting (Python, JavaScript) for API integration and data processing is preferred. Familiarity with enterprise automation suites (UiPath, Power Automate) integrated with AI modules is preferred.
- Deep knowledge of data security, privacy standards (GDPR, CCPA), IP protection, and ethical AI principles.
- Exceptional analytical and cross-cultural communication skills, with a demonstrated ability to mentor colleagues and partner effectively across matrixed technical and non-technical teams.
Language
- Fluent oral and written English communication skills. Fluency in a second language (French, Spanish, Portuguese, or others) is preferred.
Travel expectation
- Willingness and ability to travel domestically and internationally, if necessary (up to 10%).
Work environment
- Mostly operates a computer in a virtual first environment.
- Ability to maintain a comfortable and ergonomic posture while working.
Work authorization/visa requirements/sponsorship
- Must be legally authorized to work in the United States, without visa sponsorship now or in the future.
Other duties
- Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Interested candidates should submit their resumes and cover letters online by 11/24/2026.
No phone calls please.
Principals only please.
Location: Any US Office including Boston, MA
LOCATION INFORMATION
In order to be considered for a position, applicants must be legally authorized to work in the location specified without relocation support or visa sponsorship now or in the future, unless explicitly noted otherwise in the position overview. If a position does not specify a location, applicants whose primary residence is a location where JSI is registered to conduct business will be considered:
- U.S. Locations: AZ, AR, CA, CO, CT, FL, GA, HI, IN, IL, LA, ME, MD, MA, MI, MN, NH, NJ, NM, NY, NC, PA, RI, TN, TX, VT, VA, WA, DC, and WI.
- Global Locations: Bangladesh, Benin, Cambodia, Cote d'Ivoire, Democratic Republic of the Congo (DRC), Ethiopia, Haiti, Laos, Madagascar, Mali, Mozambique, Niger, Nigeria, Pakistan, Tanzania, Uganda, and U.S.
Position Category: Direct hire, paid in US
Posting Date: 11/11/2026
Deadline Date: 11/24/2026
Salary Range: $94,774 - $166,270 Commensurate with experience and location.
Description
Organizational overview
JSI is dedicated to strengthening health and education systems to improve the lives of individuals, families, and communities. We believe all people should have what they need to live their healthiest lives and reach their full potential. To accomplish this, JSI works hand-in-hand with government agencies, community organizations, and the private sector to design pragmatic strategies for complex problems. We drive measurable impact in public health, health care, and education to enhance the well-being of people in the United States and around the world.
As a global organization, JSI has designed, delivered, and scaled programs in more than 50 countries worldwide. In the U.S., JSI has worked in evaluation, training and technical assistance, policy, and strategy in all 50 states and has teams in Massachusetts, New Hampshire, Rhode Island, DC, Georgia, Colorado, and California.
Position overview
As part of the Corporate Information Technology team, the AI Engineer serves as an enterprise catalyst for internal AI adoption, connecting technical execution with practical governance. This role designs, builds, and deploys practical AI-driven solutions—including prompt architectures, automated workflows, and light application integrations—to resolve operational bottlenecks across divisions. Blending a hands-on builder mindset with technical oversight, the AI Engineer ensures all internal AI implementations achieve measurable operational efficiencies while adhering to strict safety, security, and ethical standards.
This full-time role reports to the Chief Information Technology Officer and can be located in the U.S. where JSI is registered.
RESPONSIBILITIES
- Creative Problem Solving: Actively seek out complex internal operational challenges across the organization, applying a creative and analytical mindset to design tailored AI interventions that eliminate redundancies and save staff time.
- Prototyping & Development: Design, build, test, and deploy practical AI solutions, including prompt engineering architectures, custom GPTs, workflow automations, and light application integrations via APIs, low-code/no-code platforms, or scripts.
- Implementation & Rollout: Lead end-to-end implementation of approved AI tools, working alongside business unit leads to embed AI into daily workflows and track operational ROI/efficiency gains.
- Access Control & Asset Lifecycle: Define user permissions, data access controls, and usage monitoring protocols across all regional and divisional teams.
People & Influence
- Use Case Discovery: Partner with division leadership to evaluate internal processes and pinpoint high-impact opportunities for AI integration.
- User Enablement: Serve as an internal champion for AI, generating excitement and buy-in across all levels of the organization. Develop internal prompt libraries, standard operating procedures (SOPs), and targeted training programs to elevate AI literacy and adoption across teams.
Thought & Strategy
- AI Strategy: In collaboration with IT leadership develop and execute JSI’s AI strategy, aligning technical initiatives with long-term enterprise goals.
- Environment Architecture & Management: Provide operational oversight of the company’s enterprise AI environment, including vendor platforms (e.g., OpenAI Enterprise, Gemini, Microsoft Copilot, Anthropic), internal tools, and API usage across global sites.
- Vendor & Tool Evaluation: Benchmark, select, and manage relationships with third-party AI vendors, ensuring platform reliability, scalability, alignment with corporate strategy, and cost optimization.
Expertise & Growth
- Framework Enforcement: Establish and enforce guardrails for safe, transparent, and ethical AI deployment across the global organization.
- Data Security Partnership: Collaborate closely with InfoSec and Legal teams to ensure enterprise data remains secure, non-public data is protected from LLM training sets, and output integrity is maintained.
- Stay Current: Maintain subject matter expertise in modern generative AI architectures, retrieval-augmented generation (RAG) concepts, and emerging automation technologies to continuously modernize internal toolkits.
Finance & Resource Management
- Risk & Compliance Reviews: Evaluate prospective AI use cases for data privacy risks, intellectual property concerns, algorithmic bias, and compliance with emerging regional regulations (e.g., EU AI Act, global privacy laws).
- Financial Acumen :Conduct cost-benefit and procurement analyses for off-the-shelf and custom AI tools, tracking quantified labor efficiencies to ensure execution within approved budget parameters.
QUALIFICATIONS
- Bachelor’s degree in Information Technology, Computer Science, Data Analytics, Business Information Systems, a related field, or equivalent practical experience. Formal background or certification in AI Ethics, Enterprise Risk Management, or IT Governance (e.g., CRISC, CGEIT) is preferred.
- 8+ years of relevant, progressive experience in technology deployment, digital transformation, or systems engineering including leadership experience; with 2+ years of direct experience building with and implementing Generative AI tools in an enterprise environment. Experience scaling AI solutions across a global organization with multi-regional compliance needs is preferred.
- Demonstrated track record of identifying business pain points and successfully deploying technology to resolve them; and passion for operational efficiency and creative problem solving.
- Demonstrated skill in prompt engineering, fine-tuning, retrieval-augmented generation (RAG) concepts, and building workflows using modern AI APIs (OpenAI, Anthropic, LangChain, Make/Zapier, or internal platform builders).
- Proficiency in basic scripting (Python, JavaScript) for API integration and data processing is preferred. Familiarity with enterprise automation suites (UiPath, Power Automate) integrated with AI modules is preferred.
- Deep knowledge of data security, privacy standards (GDPR, CCPA), IP protection, and ethical AI principles.
- Exceptional analytical and cross-cultural communication skills, with a demonstrated ability to mentor colleagues and partner effectively across matrixed technical and non-technical teams.
Language
- Fluent oral and written English communication skills. Fluency in a second language (French, Spanish, Portuguese, or others) is preferred.
Travel expectation
- Willingness and ability to travel domestically and internationally, if necessary (up to 10%).
Work environment
- Mostly operates a computer in a virtual first environment.
- Ability to maintain a comfortable and ergonomic posture while working.
Work authorization/visa requirements/sponsorship
- Must be legally authorized to work in the United States, without visa sponsorship now or in the future.
Other duties
- Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Interested candidates should submit their resumes and cover letters online by 11/24/2026.
No phone calls please.
Principals only please.
See All 39 AI Platform Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find AI Platform Engineer JobsAI Platform Engineer Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
AI Platform Engineer Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Insurance
- Technology & Software
- Healthcare & Medical Services
- Biotechnology & Pharmaceuticals
- Consulting & Professional Services
What Massachusetts Employers Look For
The qualifications that appear most often in AI platform engineer jobs across Massachusetts.
- Bachelor's or master's degree in computer science, engineering, or a related technical field
- Hands-on experience building and operating ML platforms using Kubernetes, Kubeflow, or MLflow
- Proficiency in Python and infrastructure-as-code tools such as Terraform or Pulumi
- Experience deploying and monitoring models on AWS, Azure, or Google Cloud at production scale
- Familiarity with data pipeline orchestration tools including Apache Airflow or Prefect
- Strong collaboration skills working across data science, platform engineering, and product teams
AI Platform Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a ai platform engineer in Massachusetts?
There is no state-issued license required to work as an ai platform engineer in Massachusetts. The standard path is a bachelor's degree in computer science, software engineering, or a related field, followed by hands-on experience with ML infrastructure and cloud platforms. Many Massachusetts employers, particularly in the biotech and fintech sectors, also value advanced degrees or industry certifications in cloud architecture. Building a portfolio of deployed ML systems strengthens candidacy considerably.
How much do AI platform engineers make in Massachusetts?
AI platform engineers in Massachusetts earn a median of about $109,590 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $55,740 for the lowest 10% to over $183,460 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai platform engineers in Massachusetts?
Employers hiring ai platform engineers in Massachusetts right now include Novartis, LangChain, and Plymouth Rock Assurance, based on current listings on Migrate Mate as of November 2026. Massachusetts's density of biotech, fintech, and enterprise software companies means demand is sustained across both large established organizations and well-funded growth-stage firms headquartered in the Greater Boston area.
Which Massachusetts cities have the most ai platform engineer jobs?
Boston, Cambridge, and Waltham have the most ai platform engineer openings in Massachusetts. Boston and Cambridge anchor the market due to their concentration of biotech companies, financial services firms, and major research universities, while suburban nodes along the Route 128 corridor such as Waltham and Burlington draw significant hiring from enterprise software and defense technology employers operating large engineering campuses there.
Are there remote ai platform engineer jobs in Massachusetts?
Yes, and more than most fields. About 72% of ai platform engineer openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting how naturally the work translates to distributed environments. The portions of the role focused on pipeline development, model deployment automation, and infrastructure configuration are most commonly performed fully remotely, while on-call platform reliability work often requires some on-site presence.
How can I get hired as a ai platform engineer in Massachusetts with little or no experience?
The most realistic entry path is through a junior MLOps or platform engineering associate role, often reached from adjacent positions like data engineer, backend software engineer, or DevOps engineer at Massachusetts employers. Large organizations such as Fidelity Investments and MathWorks have new-graduate hiring programs that open into platform-adjacent infrastructure teams. Building and publicly sharing a portfolio of cloud-based ML deployment projects, and earning an entry-level cloud certification, gives candidates a concrete edge in Massachusetts interviews.
Where can I find and apply to ai platform engineer jobs in Massachusetts?
You can find and apply to ai platform engineer jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings. Find roles that fit your experience and apply directly from the listing.
See All 39 AI Platform Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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