Artificial Intelligence Jobs in Cambridge, MA

Responsible for architecting the sales data ecosystem, ensuring data integrity, governance, and providing real-time insights for forecasting and revenue decision-making.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

The Lead AI Engineer will design and develop AI software components, optimize large-scale production AI systems, and contribute to the technical vision for AI solutions at Capital One.

As an Applied Researcher II, you'll develop AI models, collaborate across teams, conduct applied research, and drive innovations in AI to improve customer experiences.

The role involves leading AI solutions development, optimizing AI systems, and collaborating with cross-functional teams to enhance customer interactions at Capital One.

In this role, you will design, develop, and support AI software components, collaborate with cross-functional teams, and contribute to the roadmap for foundational AI systems.

The Applied Researcher I role involves developing AI foundation models, collaborating with cross-functional teams, and conducting advanced research to enhance banking experiences with AI.

Lead cross-functional teams to develop and deploy AI-powered products, focusing on model training, inference, and system optimization. Innovate AI solutions that enhance banking experiences and use cutting-edge technologies to lead in AI engineering.

Lead design, development, deployment, and support of foundation model training and LLM inference platforms. Build similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale AI systems for cost, latency, throughput, and scalability; contribute to technical vision and roadmap while partnering across engineering, research, product, and program teams.

Lead strategy and vision for advanced orthopaedic technologies. Conduct market and customer research, scout and build partnerships, prioritize opportunities, govern initiatives, and partner with R&D, BD, supply chain, quality, and regulatory. Support technology integration into product teams, communicate with senior leaders and external partners, and manage multiple projects. Role requires OR/cadaver work and significant domestic/international travel.

As a Lead AI Engineer, you will design, develop, and support AI software components while partnering with cross-functional teams to deliver AI-powered products at Capital One.

The Senior Lead AI Engineer will develop and support AI components, lead a cross-functional team, and drive innovation in AI systems at Capital One.

The AI Engineer designs and deploys AI automation tools, partners with teams for workflow automation, and enhances operational efficiency using generative AI and data-driven decision support.

Develop regulatory strategies for SaMD, AI/ML-enabled and wearable health products. Advise cross-functional teams on regulatory implications, support FDA and EU submissions, engage authorities, monitor evolving guidance, and shape scalable compliance approaches for novel digital health technologies.

Lead design, develop, deploy, and support foundational AI systems (LLM training/inference, similarity search, guardrails, observability). Partner cross-functionally to optimize scalability, cost, latency, and throughput, apply state-of-the-art research to production, and shape long-term AI platform roadmap.

Lead an AI engineering team to design, build, deploy, and optimize large-scale generative AI systems. Oversee foundation model training, LLM inference, similarity search, guardrails, evaluation, observability, and make strategic build-vs-buy decisions. Drive technical vision, roadmap, and talent development while ensuring scalable, cost-efficient, and responsible AI production systems.

Lead policy strategy on blockchain, digital assets, and emerging technologies; advise cross-functional teams on regulatory, risk, and policy implications; engage regulators and industry groups; translate complex technical concepts for senior leaders and stakeholders to inform decision-making.

Lead US TMT business development with an AI focus: identify revenue opportunities from AI regulation, M&A, governance and data trends; develop client strategies, communications and targeted outreach; support pitches and major US TMT projects; coach and manage MBD colleagues; collaborate with partners and international teams to drive client relationships and revenue growth.

Support venture finance team with quarterly US GAAP reporting and audits, tax-basis book prep, cash management, capital calls, and portfolio financial analysis. Prepare valuations, investor materials, respond to LP inquiries, ensure partnership compliance, manage fee and expense allocations, and assist on projects including AI implementation and other ad-hoc responsibilities.

The Sr. Product Manager will drive the product vision, strategy, and execution for AI-powered products, enhancing insurance communications and improving customer experiences.

The iOS Engineer II will develop scalable Android features, collaborate with teams, optimize app performance, and ensure code quality.

The Software Engineer II (Frontend) will design and develop user experiences for WHOOP's digital products, focusing on responsive web applications and collaboration across teams.

As a Senior Software Engineer, you'll build scalable systems, collaborate with teams to deliver software features, and ensure high-quality applications.

The role involves designing and developing AI software solutions, collaborating with cross-functional teams, and optimizing large-scale AI systems for performance and scalability.

The Senior Lead AI Engineer will develop and support AI software components, partner with cross-functional teams, and enhance AI systems performance. Responsibilities include designing, deploying, and optimizing AI models for improved banking services.