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 Whoop, Klaviyo, and Amazon. Find a role that fits below and apply directly.
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Showing 5 of 36+ Senior AI Software Engineer jobs
Key Responsibilities
Implementation & Configuration
- Design and implement AI Gateway infrastructure using Infrastructure as Code (IaC)
- Configure and customize according to our organizational requirements (security and standards)
- Deploy solution within our AWS environment
- Conduct comprehensive testing including functional, performance, and integration testing
- Ensure solution meets security, scalability, and reliability requirements
- Documentation & Knowledge Transfer
- Create detailed technical documentation for the implemented solution
- Develop onboarding guides and operational runbooks
- Document configuration standards and deployment procedures
- Provide architecture diagrams and system documentation
- Rollout Support
- Support initial production rollout and deployment
- Provide troubleshooting and issue resolution during launch phase
- Conduct knowledge transfer sessions with internal teams
- Assist with early adoption and usage optimization
- AWS Expertise: Strong experience with AWS services and cloud architecture
- Infrastructure as Code: Proficiency with IaC tools (Terraform, CloudFormation, CDK, or similar)
- AI Gateway Experience: Hands-on experience with LiteLLM or similar AI Gateway platforms
- Demonstrated ability to implement and configure cloud-based infrastructure solutions
- Experience with API management and gateway technologies
- Strong documentation and technical writing skills
- Security certifications or specialized security experience (AWS Security, cloud security best practices)
- Experience with AI/ML model deployment and management
- Knowledge of rate limiting, token management, and API cost optimization
- Familiarity with observability and monitoring tools (CloudWatch, Grafana)
- Experience with CI/CD pipelines and DevOps practices
Deliverables
- Production-ready AI Gateway implementation
- Complete IaC codebase with version control
- Comprehensive technical documentation
- Onboarding guides and operational procedures
- Post-implementation support through initial rollout period
Key Responsibilities
Implementation & Configuration
- Design and implement AI Gateway infrastructure using Infrastructure as Code (IaC)
- Configure and customize according to our organizational requirements (security and standards)
- Deploy solution within our AWS environment
- Conduct comprehensive testing including functional, performance, and integration testing
- Ensure solution meets security, scalability, and reliability requirements
- Documentation & Knowledge Transfer
- Create detailed technical documentation for the implemented solution
- Develop onboarding guides and operational runbooks
- Document configuration standards and deployment procedures
- Provide architecture diagrams and system documentation
- Rollout Support
- Support initial production rollout and deployment
- Provide troubleshooting and issue resolution during launch phase
- Conduct knowledge transfer sessions with internal teams
- Assist with early adoption and usage optimization
- AWS Expertise: Strong experience with AWS services and cloud architecture
- Infrastructure as Code: Proficiency with IaC tools (Terraform, CloudFormation, CDK, or similar)
- AI Gateway Experience: Hands-on experience with LiteLLM or similar AI Gateway platforms
- Demonstrated ability to implement and configure cloud-based infrastructure solutions
- Experience with API management and gateway technologies
- Strong documentation and technical writing skills
- Security certifications or specialized security experience (AWS Security, cloud security best practices)
- Experience with AI/ML model deployment and management
- Knowledge of rate limiting, token management, and API cost optimization
- Familiarity with observability and monitoring tools (CloudWatch, Grafana)
- Experience with CI/CD pipelines and DevOps practices
Deliverables
- Production-ready AI Gateway implementation
- Complete IaC codebase with version control
- Comprehensive technical documentation
- Onboarding guides and operational procedures
- Post-implementation support through initial rollout period
See All 36 Senior AI Software Engineer Jobs in Boston
Find roles in Boston that match your experience and apply in just a few clicks.
Find JobsSenior AI Software Engineer Job Market in Boston
Who's Hiring
Top Industries Hiring
- Technology & Software
- Insurance
- Law & Legal Services
- 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 Whoop, Klaviyo, and Amazon and others right now, based on current listings on Migrate Mate as of September 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 40% of senior ai software engineer openings tied to Boston are remote or hybrid as of September 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 Law & Legal Services, per current listings on Migrate Mate as of September 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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See All 36 Senior AI Software Engineer Jobs in Boston
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