AI Software Developer Jobs in Boston, MA
AI Software Developer jobs in Boston are in high demand, concentrated in the Seaport Innovation District, Kendall Square, and the Longwood Medical Area, with strong hiring across biotech, financial services, and enterprise software. Employers actively hiring include suno, Plymouth Rock Assurance, and Whoop. Scan the live roles below and apply to whichever ones fit.
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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.
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Who's Hiring



Top Industries Hiring
- Technology & Software
- Insurance
- Healthcare & Medical Services
AI Software Developer Jobs in Boston: Frequently Asked Questions
How do I get a ai software developer job in Boston?
Focus on Boston's three dominant hiring sectors: biotech and life sciences, financial services, and enterprise software. The Seaport District and Kendall Square carry the heaviest concentration of openings, with the Longwood Medical Area adding a strong research-driven pipeline. Candidates who combine hands-on machine learning experience with domain knowledge in healthcare or fintech stand out most in this market. A strong GitHub portfolio and familiarity with cloud platforms used in regulated industries give you a clear edge.
Which companies hire ai software developers in Boston?
Companies currently hiring ai software developers in Boston include suno, Plymouth Rock Assurance, and Whoop, per current listings on Migrate Mate as of November 2026. Boston's employer mix ranges from large financial institutions and global biotech firms to venture-backed AI startups clustered in the Seaport and Kendall Square corridors.
Are there remote ai software developer jobs in Boston?
Yes, ai software developer work is well-suited to remote and hybrid arrangements since the role is primarily desk-based and output-driven. About 50% of ai software developer openings tied to Boston are remote or hybrid as of November 2026, reflecting broad employer flexibility in this field. Model development, research, and pipeline engineering tasks are the most commonly offered remotely by Boston-area employers.
How can I get a ai software developer job in Boston with little or no experience?
The most realistic entry path in Boston is through a junior machine learning engineer or AI research assistant role at one of the city's many early-stage startups in the Seaport or Kendall Square. Boston's dense university ecosystem, including MIT, Harvard, and Northeastern, means employers are accustomed to hiring recent graduates and co-op participants. Building a portfolio with real project work in PyTorch or TensorFlow, contributing to open-source repositories, and targeting companies with active internship pipelines gives entry-level candidates the strongest footing locally.
Which industries hire the most ai software developers in Boston?
Most ai software developer openings in Boston sit in Technology & Software, Insurance, and Healthcare & Medical Services, per current listings on Migrate Mate as of November 2026. Boston's position as a global hub for life sciences research, a regional center for asset management and fintech, and a growing destination for enterprise SaaS companies drives consistent demand for AI talent across all three sectors.
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