Lead architecture, design, and delivery of Generative AI and ML solutions. Build scalable ML pipelines, LLM and RAG-based applications, vector DB integrations, and agent workflows. Drive MLOps, CI/CD, observability, security, and enterprise model orchestration. Provide technical leadership, mentor engineers, run Agile development, and shape AI strategy through POCs and platform innovation.
Key Responsibilities Technical Leadership
- Lead the architecture and development of AI/ML and Generative AI solutions.
- Define best practices for AI system design, model integration, and deployment.
- Provide technical leadership and mentorship to AI/ML engineers and developers.
- Drive adoption of AI frameworks, tools, and development standards.
AI/ML Architecture
- Design scalable architectures for ML pipelines, GenAI applications, and AI platforms.
- Build systems leveraging LLMs, RAG architectures, vector databases, and agent-based AI workflows.
- Define patterns for AI APIs, model orchestration, and enterprise AI integration.
- Ensure solutions meet requirements for security, scalability, and reliability.
Development Management
- Lead development teams through Agile development cycles.
- Manage technical delivery, code quality, and architecture reviews.
- Collaborate with product managers and stakeholders to translate business needs into AI solutions.
AI Platform & MLOps
- Oversee implementation of MLOps practices for model lifecycle management.
- Implement CI/CD pipelines for AI models and GenAI applications.
- Ensure robust AI observability, monitoring, and governance.
Innovation & Strategy
- Evaluate emerging AI/ML technologies and GenAI platforms.
- Drive innovation through proof-of-concepts and pilot AI solutions.
- Contribute to enterprise AI strategy and roadmap development.
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Compensation, Benefits and Duration
Minimum Compensation: USD 48,000
Maximum Compensation: USD 170,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
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What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
