Artificial Intelligence Jobs in Cambridge, MA

Lead design and delivery of an enterprise Generative AI platform across AWS Bedrock, Azure Foundry/OpenAI, and Databricks. Architect multi-cloud RAG/agent solutions, author IaC and Harness pipelines, enforce governance/FinOps/observability, mentor senior engineers, and enable data scientists and app teams to ship production GenAI at scale in regulated environments.

Lead Volition's internal AI strategy: design, build, deploy, and maintain production AI tools and infrastructure across deal sourcing, portfolio monitoring, research, and operations while ensuring compliance, data governance, and stakeholder enablement.

Lead the Accounting & Finance Reporting, Data & AI Center of Excellence: set strategy, governance, roadmap, and deliver analytics, automation, and AI solutions. Own intake, prioritization, implementation, adoption, and value realization across financial processes while partnering with IT and mentoring the team.

Lead client-facing, end-to-end AI strategy engagements: scope opportunities, design solutions, build roadmaps, and oversee implementation. Advise C-suite on AI adoption, value realization, governance, and technical enablement. Maintain hands-on fluency with modern AI stack and platforms, drive business development, mentor consulting teams, and contribute to an AI Center of Excellence.

Design, build, scale, and maintain the companys e-commerce marketplace platform using AI-assisted workflows. Deliver production-quality full-stack features, validate AI-generated code, mentor engineers, improve systems, and partner with Product and Design to execute initiatives.

Lead design, training, and deployment of large-scale ML models (LLMs, diffusion, GNNs). Own end-to-end training pipelines, distributed training, evaluation, and inference architecture. Collaborate with data and infra teams, drive reproducible model development, and provide technical leadership and mentorship from research through production.

Architect and lead AI-hardware co-design solutions from research to validated proofs-of-concept. Quantify compute trade-offs with high-fidelity simulation, optimize algorithms for hardware (memory, dataflow, precision), select compute substrates from MCUs to custom accelerators, mentor engineers, and translate innovation into deployable systems while driving thought leadership in Edge AI.

Design, build, and maintain MLOps software systems and ML pipelines; deploy, test, and monitor AI/ML models on cloud-native platforms; implement ETL and data workflows; ensure model performance, security, and scalability; lead technical roadmap, mentor engineers, and evaluate emerging MLOps tools.

Seeking a Senior AI Engineer to develop AI solutions, oversee project delivery, and collaborate on system architecture. Requires 5+ years with Python and AI technologies.

The Staff Domain Expert will lead AI initiatives for GTM, translating operational workflows into AI applications while facilitating customer engagements and developing thought leadership.

Own a product area end-to-end: discovery, specification, prototyping, and handoff. Use AI to draft and prototype, keep version-controlled docs in GitHub, triage work and bugs, decompose features into plans, and collaborate directly with engineers and designers to drive shipped SaaS outcomes.

Build and ship agentic AI features across the full stack: design LLM-driven workflows, implement backend APIs and frontend UI, integrate MCP server capabilities, monitor production behavior, and iterate based on customer use. Drive projects independently, collaborate with product/design/engineering, and use agentic coding tools to prototype and deliver end-to-end features.

Lead design, development, validation, and deployment of machine learning and predictive analytics for U.S. Commercial. Integrate claims, EHR, specialty pharmacy, and commercial data to generate patient and provider insights. Partner with cross-functional teams, manage vendors, and communicate findings to leadership to inform commercial strategy and improve patient access, engagement, and treatment outcomes.

Hands-on Director of AI Engineering to design, build, and deploy agentic AI systems that automate internal operations. Lead a 2-4 engineer pod, ship production code, own AI automation roadmap, scout tooling, and hand off maintainable systems while driving measurable operational throughput gains.

Forum Ventures seeks a founder to build startups that remove vendor lock-in in edge AI: developing edge runtimes, compiler abstractions, intelligent inference routing, and unified operational planes for mixed NPU fleets. The founder will build product, hire and lead teams, validate markets, and work with Forum’s venture studio for funding, GTM, and operational support to reach early traction.

Lead and build a B2B SaaS startup focused on real-world digital representations of physical assets (utilities, dams, bridges, fiber). Validate product-market fit, sell to utilities/DOTs/infrastructure owners, build capture networks delivering audit-grade field truth, recruit and lead teams, and work with Forum’s funding, GTM, and operating support to reach early ARR and scale.

Seeking a founder to build B2B SaaS startups addressing physical cybersecurity where AI controls critical infrastructure: adversarial robustness, sensor and control-loop integrity, and incident response/forensics. Partner with Forum for funding, go-to-market support, hiring, and product validation to reach early ARR and scale.

Lead a new AI-driven B2B SaaS company focused on physical assets: validate product-market fit, build teams, develop IoT/telemetry-enabled products, drive GTM to early ARR, and collaborate with Forum for fundraising and operational support.

As an AI Product Specialist at Kensho, you will drive market expansion, manage customer engagement, and leverage AI product strategies while collaborating across teams to ensure effective go-to-market execution for AI solutions.

Build and operate production-grade AI agent systems and connectors into governed data (Bronze layer). Design multi-agent workflows, enforce data contracts, implement observability, guardrails, cost controls, governance, and durable documentation while collaborating with stakeholders.

The Innovations and AI Solutions Engineer develops and optimizes AI solutions, manages data flows, implements machine learning models, and collaborates with users on data analysis and reporting.

Design, develop, and deploy ML and statistical solutions for clinical development. Partner with product, engineering, and domain experts to build reproducible model pipelines, run simulation and comparative evaluations, integrate models into production, and ensure compliant, interpretable ML architectures. Produce documentation, monitor performance, and contribute to knowledge sharing and cross-functional productization of data science solutions in regulated healthcare environments.

Lead development and productization of advanced statistical and ML solutions for clinical development. Design simulation studies, build scalable data and model pipelines, ensure model fairness/compliance, integrate models into product platforms, and drive scientific leadership and cross-functional initiatives in regulated pharma environments.

The Senior AI Product Owner will lead AI engineering teams, oversee solution design, mentor engineers, ensure code quality, and assess new technologies in AI initiatives.

Serve as the global go-to-market owner for Tenable AI Exposure: define positioning and messaging, influence product roadmap with customer insights, lead product launches, create sales and marketing assets, enable demand generation and sales, engage practitioner and enterprise communities, and collaborate cross-functionally to drive adoption and growth.