Artificial Intelligence Jobs in Cambridge, MA

The AI Specialist at KnoxAI will design, train, and improve AI systems, ensuring alignment with security and compliance needs, while collaborating closely with various teams on production-ready solutions.

As a Senior Software Engineer, you'll architect and build software systems for AI-enhanced robotic solutions, ensuring efficient deployment and integration in real-world settings. You'll leverage AI tools to enhance productivity, work collaboratively with engineering teams, and gain firsthand experience seeing your contributions in action.

The Research Manager, AI Safety will oversee research fellows, facilitate project execution, provide feedback, and manage partnerships related to AI safety initiatives.

The role involves program design for AI safety fellowships, supporting mentorship experiences, and improving research support systems for fellows.

The AI Quality Associate evaluates AI outputs for quality, develops benchmarks and rubrics, validates workflows, and collaborates with finance experts to ensure high-quality AI-assisted outputs.

The AI Operations Associate monitors AI-driven workflows, investigates incidents, supports operational controls, and recommends improvements to maintain workflow reliability and safety in finance environments.

The AI Support Analyst provides technical assistance for AI tools, resolves user issues, and supports training and adoption initiatives across the firm.

The Senior AI/ML Engineer at Cooley will design, build, and maintain enterprise-scale AI/ML solutions across cloud platforms, optimize performance, and collaborate on AI implementations.

The Product Owner will lead the development of AI/ML-driven digital products for molecular modeling, enhancing scientific workflows and driving product adoption through agile cross-functional team leadership.

The role involves architecting and building scalable AI solutions, including orchestrating workflows, developing Text-to-SQL agents, and maintaining automated evaluations within a life sciences context.

Design and build LLM-powered agents for hardware product development. Responsibilities include ensuring effective coordination among engineering disciplines and integrating AI systems with existing tools.

The role involves developing and implementing Generative AI solutions, optimizing AI inference systems, building APIs, and collaborating with teams to enhance supply chain management software.

The Data Engineer will develop and optimize data pipelines for LLMs, ensuring high-quality healthcare datasets while collaborating with data scientists on model requirements.

The Solution Architect focuses on integrating and enhancing AI features within enterprise applications, driving operational excellence and hyperautomation across the organization.

The role involves designing and implementing a scalable AI framework, integrating AI services with data pipelines, and collaborating with teams for secure deployment.

Lead the design and build of advanced generative AI systems and ensure high engineering standards, mentoring engineers and transforming conceptual ideas into high-quality, testable production systems.

AI Technical Lead position focused on designing and developing AI systems and agent platforms, guiding engineering strategies for data-driven products.

Lead data science and AI execution across the Workplace Solutions business, focusing on analytics, machine learning, and partnerships to drive business growth and enhance user experience.

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

Design and build scalable full stack applications using Node.js and React. Collaborate with teams to enhance features, optimize performance, and maintain robust systems.

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

The AI Product Manager will lead the design and implementation of AI-driven workflows for enterprise customers, ensuring successful adoption and value delivery through effective collaboration and communication.

As a Senior Principal AI Engineer, you will design and enhance data and AI platforms, create AI starter kits, deliver reference implementations, and advocate for cloud-first development approaches to support scalable AI adoption across Vertex Pharmaceuticals.

Develop and deploy computer vision capabilities, building pipelines for image processing, analysis, and integration with multimodal AI systems. Requires collaboration with Product and Engineering teams.