Senior AI Software Engineer Jobs in Boston, MA
Senior AI Software Engineer jobs in Boston are in strong demand, concentrated in the Seaport Innovation District, Kendall Square, and the Back Bay across biotech, healthtech, fintech, and enterprise software. Employers actively hiring include Plymouth Rock Assurance, suno, and CarGurus. Find a role that fits below and apply directly.
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Showing 5 of 16+ Senior AI Software 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 16 Senior AI Software Engineer Jobs in Boston
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Find JobsSenior AI Software Engineer Job Market in Boston
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Top Industries Hiring
- Technology & Software
- Insurance
- Healthcare & Medical Services
Senior AI Software Engineer Jobs in Boston: Frequently Asked Questions
How do I get a senior ai software engineer job in Boston?
Boston's strongest hiring comes from biotech and healthtech companies in Kendall Square and the Seaport, along with fintech and enterprise software firms in the Back Bay and downtown Financial District. Candidates with experience in machine learning infrastructure, LLM integration, or AI-driven clinical or financial applications stand out locally. Building connections through Boston's dense research and startup ecosystem, including ties to MIT and Harvard spinouts, gives applicants a real edge.
Which companies hire senior ai software engineers in Boston?
Boston senior ai software engineer roles are posted by Plymouth Rock Assurance, suno, and CarGurus and others right now, based on current listings on Migrate Mate as of November 2026. Boston's hiring mix is broad, drawing from established biotech and pharmaceutical firms, fast-growing healthtech startups, and financial services companies with large technology divisions.
Are there remote senior ai software engineer jobs in Boston?
Yes, though many Boston roles at this seniority level prefer hybrid arrangements given the collaborative nature of AI research and engineering. About 45% of senior ai software engineer openings tied to Boston are remote or hybrid as of November 2026, with the strongest remote flexibility appearing in roles focused on model development, MLOps, and data pipeline work rather than embedded or lab-integrated positions.
How can I get a senior ai software engineer job in Boston with little or no experience?
The most realistic entry path in Boston is through junior or mid-level machine learning engineer or data scientist roles at one of the city's many healthtech or biotech startups in Kendall Square or the Seaport. Boston's university-affiliated research labs and AI accelerator programs also regularly hire associate engineers. Building a visible portfolio of applied AI projects and contributing to open-source tools commonly used in life sciences or fintech strengthens a local application considerably.
Which industries hire the most senior ai software engineers in Boston?
Most senior ai software engineer openings in Boston sit in Technology & Software, Insurance, and Healthcare & Medical Services, per current listings on Migrate Mate as of November 2026. Boston's concentration of world-class research hospitals, pharmaceutical companies, and fintech firms creates sustained local demand for senior AI talent with domain-specific expertise.
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