Software Engineer AI Jobs in 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.

Results & Execution

• 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.

Education, experience, skills, and competencies

• 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.