Artificial Intelligence Jobs in Cambridge, MA

Build and operate Developer Intelligence platform components that collect and operationalize engineering telemetry, integrate AI/LLM tooling into SDLC workflows, improve observability, automate developer tasks, and mentor peers to increase engineering velocity and reliability.

The Staff Level AI Engineer will innovate applied AI methods, enhance user experience through AI, and architect AI infrastructure for a SaaS platform, collaborating across product and engineering teams to drive business value.

The Senior AI Engineer will innovate AI solutions for product capabilities, enhance user experiences, build scalable infrastructure, and collaborate across teams to implement AI features effectively.

Lead AI transformation for Grid Systems Integration: define strategy, prioritize high-value use cases, manage end-to-end delivery, drive adoption, govern responsible AI, and lead a small team of project managers and data analysts to deliver measurable operational impact.

Lead enterprise data and AI strategy and build scalable data infrastructure for a biotech company. Deliver prioritized AI use cases, enable productivity tools, ensure regulated data and AI controls, and partner cross-functionally to create reporting, governance, and analytics that support clinical, regulatory, medical affairs, commercial, and executive decisions.

Design and build AI-powered internal systems for support, legal, finance, and other functions; own production infrastructure, observability, and operational practices; embed with cross-functional partners to prioritize and deliver tooling; extend company AI infrastructure to internal use cases and establish engineering patterns for scaling.

Lead a specialist GTM pod to advise C-suite clients, design AI-driven commercial strategies, translate client pain into business cases, own segment strategy and post-close outcomes, and feed product/engineering with market intelligence to accelerate time-to-value and revenue.

AI and Technology Consultants work with clients to implement strategic initiatives, focusing on cloud and technology strategies, DevOps, and agile transformations.

The role involves designing AI solutions for medical applications, automating processes, and collaborating with various teams to enhance product efficiency.

Design and deliver AI Agent solutions to improve efficiency in clinical trials and regulatory processes, collaborating with engineering and UX teams.

The Physical AI Architect will design and oversee the implementation of perception, planning, and control systems in robotics, focusing on optimal control and diffusion-based AI techniques while ensuring successful hardware integration.

Lead Insurify's AI Search & Discovery program to improve visibility, citations, and brand perception across LLMs and AI search. Build the roadmap, run source-gap analysis, coordinate cross-functional execution (content, PR, product, legal, data), measure outcomes, and optimize owned surfaces for AI agents and generative answer engines.

The Senior Digital Solutions Analyst will support AI program integration at Northeastern University, engage stakeholders, and ensure user-centered solutions through training and ongoing improvements.

Design and operate AI platform infrastructure, ensuring security, compliance, and enabling self-service onboarding while collaborating across engineering teams.

The Senior Software Engineer will design and develop web applications, manage projects, ensure application efficiency, and mentor peers while using modern technologies and AI tools.

The Associate AI Engineer will collaborate with teams to design, build, and deploy AI solutions that enhance business processes and efficiency, using advanced AI technologies.

Lead Vertex's enterprise AI governance program: define strategy, Responsible AI framework, policies, risk management, and the AI governance platform. Partner with Legal, Privacy, Security, Quality, and business teams to ensure compliant, auditable, and scalable AI adoption across the company.

Design, train, and evaluate Responsible AI components: fine-tune LLMs (including RLHF), build adversarial agent evaluations and safety mitigations, collaborate with engineering to deploy mitigations at scale, monitor operational performance, and troubleshoot end-to-end issues.

Build and operate AI-powered automations for HVAC businesses. Map undocumented workflows, design improved AI-enabled processes, create specifications, configure workflows, monitor production runs, troubleshoot failures, add error handling and fallbacks, and identify reusable patterns across customer accounts. Lead discovery and implementation discussions with business owners and office managers while feeding field insights into the product roadmap.

Advise product, AI, employment, and operational teams on global privacy, data protection, and ethical AI compliance. Lead privacy impact assessments, data subject access requests, data processing agreements, cross-border transfer mechanisms, and third-party reviews. Support incident response and remediation, develop scalable privacy and AI processes, and apply AI tools to improve legal operations. The role requires practical judgment, collaboration, and expertise with global privacy regulations in a highly regulated technology environment.

Define strategy and drive delivery for a portfolio of enterprise AI products. Responsibilities include business discovery, AI prototyping, requirements, product execution, evaluation frameworks, solution architecture, governance, responsible AI, executive communication, and cross-functional leadership. The role establishes reusable AI standards, playbooks, and solution patterns while mentoring product leaders and guiding products from concept through production.

Build and scale AI-enabled Customer Success workflows and automations across lifecycle, health, renewal, and engagement. Prototype tools, connect data systems, establish prompt/QA processes, gather CSM feedback, and measure impact to improve productivity and consistency.

Supports consulting clients in identifying, prioritizing, and implementing Generative AI solutions. Responsibilities include facilitating workshops, analyzing requirements and processes, supporting proof-of-concepts, exploring data, developing documentation, testing solutions, tracking project plans, translating business needs into technical specifications, and delivering GenAI training. The role emphasizes Microsoft AI technologies, prompt engineering, Agile and SDLC practices, continuous AI learning, and client collaboration.

Lead post-go-live optimization for Microsoft Dynamics 365 Finance clients. Assess production environments, identify configuration and adoption gaps, prioritize enhancement roadmaps, manage backlogs, and guide design, testing, and releases. Advise finance and operations leaders, improve data integrity and user experience, identify Copilot and agentic AI opportunities, review engagement quality, mentor consultants, and contribute to consulting methodologies and practice growth.

Seeking an experienced Sales Executive to drive sales for VAST Data's analytics and AI platform, requiring strong industry knowledge and exceptional sales skills.