Artificial Intelligence Jobs in Cambridge, MA

The Agentic AI Engineer will design and build customized AI agent solutions tailored to client needs, manage full delivery, and ensure production quality.

Lead AI/ML strategy, manage a team, develop production systems on sensor and geospatial data, and translate product vision into technical execution.

The Director of CX AI will develop and execute the AI roadmap for customer experience, evaluate tools, modernize workflows, and ensure responsible AI use.

Lead and scale forward-deployed engineering pods to turn complex customer workflows into production AI agent deployments. Build intake, scoping, deployment playbooks, enforce quality, partner with product, ensure reliability and observability, and hire and coach technical leads while remaining hands-on for critical technical work.

The Senior Solutions Engineer will integrate AI solutions for insurers, working with sales and clients to deliver technical setups and optimize customer success.

The Product Manager leads AI-enabled workflow automation initiatives in healthcare revenue solutions, collaborating cross-functionally to deliver scalable, governed solutions and drive operational impact.

The Senior Software Engineer will build, release, and manage the Red Hat AI Inference Server, focusing on CI/CD pipelines and multi-cloud GPU infrastructure.

As Revenue Operations Manager, you will drive analytics and operations, enhance workflows, leverage AI tools, and improve revenue processes for the Travel Commercial organization.

Lead architecture and hands-on development of a scalable, secure AI-enabled platform. Manage and mentor engineering team, define technical strategy, implement MLOps/CI-CD, deploy LLM-powered systems, ensure data governance and responsible AI practices, and collaborate with product and business stakeholders to deliver production-grade features.

Lead the development and integration of advanced safety systems for scientific AI applications, building a team and establishing a research strategy.

As a Product Lead for Software/Applied AI, you will own specific product areas, guiding full-stack product execution and cross-functional collaboration to build impactful scientific tools.

The AI Lab Research Engineer will develop scientific AI models for complex problems, design and deploy AI agents, and collaborate across disciplines in a lab environment.

The Principal TRI AI Governance Specialist manages DTCC's AI governance framework, ensuring compliance and risk management while promoting responsible AI use across the organization.

Lead AI Product Management for commercial technology, define AI strategy, drive development of AI-powered solutions, and ensure alignment with business goals.

As a Senior AI/ML Engineer, you will design and deploy LLM systems, collaborate with cross-functional teams, and manage model deployment in production environments.

Lead the AI Engineering team to define technical architecture, mentor engineers, drive innovation, and ensure robust and scalable AI solutions.

Lead design, build, and operate enterprise agentic AI platforms. Define architecture, cloud infrastructure (GCP preferred), CI/CD, developer tooling, and observability. Mentor teams, ensure security/compliance, and deliver scalable, production-ready services for agent orchestration, deployment, and lifecycle management.

The AI Product Owner guides AI engineering teams, ensuring technical excellence, mentoring engineers, overseeing solution design, and driving timely delivery of high-quality AI products.

Lead AI Engineer responsible for guiding AI engineering teams, overseeing solution design and delivery, improving code quality, and mentoring engineers.

Lead AI Engineer to mentor teams, guide AI solution design, ensure code quality, and manage complex AI projects while evaluating new technologies.

The AI Enablement Senior Associate aids in executing Crowe's AI Enablement strategy, coordinating workshops, developing content, and promoting AI tool adoption among business units and clients.

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.

The AI Innovation Engineer will architect and build AI agents and workflows, integrate AI tools with business systems, and ensure adoption while developing a knowledge base and documentation for the organization's AI initiatives.

The Senior Integration Engineer will design, implement, and productize AI technologies, integrate workloads on Red Hat's platforms, optimize performance, and collaborate with various engineering teams and partners.

The Software Engineer will build components for Red Hat's AI platform using Python, implement features and collaborate with senior engineers, while participating in agile ceremonies.