Top AI Jobs in Boston, MA

The Distinguished AI Engineer will develop and support AI software components, lead AI system architecture, and mentor teams, focusing on scalable AI solutions.

The Senior AI Product Designer will collaborate with product and engineering teams, using design to define what to build, prototype ideas, and improve user experiences. This role emphasizes mentorship, AI integration, and evolving design systems in a hands-on, co-creative environment.

The AI Engineer will develop and deploy AI solutions, focusing on LLMs, deep learning, and collaborations with engineering teams to build robust applications.

Lead engineering efforts in transitioning a SaaS platform to Native AI, manage teams, drive AI product development, and promote a culture of innovation.

The Senior Lead will drive go-to-market execution for AI and core product features, collaborating with various teams to optimize launches and improve user engagement.

The Senior Program Manager will lead Foundational AI projects, translating complex strategies into operational plans and ensuring project alignment across technical and business teams.

The role involves designing and operating AI systems, building data pipelines, fine-tuning models, and mentoring team members while collaborating with product and data science teams.

Lead the development and deployment of AI-powered products with a focus on foundational AI systems, LLM optimization, and team collaboration to enhance user experiences in banking.

Lead AI-driven analysis bridging unstructured customer feedback and structured data to surface insights, drive retention, improve Care operations, build analytical playbooks, and influence senior leadership.

As a Lead AI Engineer at Capital One, you will design and support AI software, develop LLM and optimization techniques, and collaborate with cross-functional teams to innovate AI products.

As Associate Director of Physical AI, oversee and lead a team in developing humanoid robotics capabilities, ensuring technical agendas align with operational outcomes while managing cross-functional projects and initiatives.

Lead AI Engineer responsible for developing and deploying AI solutions, collaborating with cross-functional teams, and optimizing foundational AI systems.

As a Senior Lead AI Engineer, you will design, develop, and optimize AI systems while collaborating with a cross-functional team to implement AI-driven products.

As a Lead AI Engineer, you will design and develop AI components, collaborate across teams, improve performance, and contribute to Capital One's AI vision.

The Senior Lead AI Engineer will design and develop AI-driven products, enhance scalable AI systems, and collaborate with cross-functional teams.

Lead and implement AI/ML platform solutions to enhance patient care by developing scalable systems, mentoring engineers, collaborating with cross-functional teams, and leveraging emerging technologies.

The AI Engineer will develop production-grade AI tools, bridge business needs with technical solutions, and mentor other engineers while ensuring scalability and security in AI integration.

The Internal AI Engineer will create tools and solutions leveraging LLMs, partner with teams to identify AI opportunities, and set technical standards for AI development at Tulip.

The AI and Technical Designer will bridge creative ideation and AI-driven production, ensuring brand consistency and enhancing workflows across teams. Responsibilities include creating production-ready artwork, overseeing quality, and integrating AI tools into processes.

Lead the development of AI software components for Capital One, including model training, inference, and system optimization. Collaborate with cross-functional teams to deliver groundbreaking AI solutions, ensuring quality and scalability while mentoring junior team members.

This role involves partnering with teams to develop AI-powered technology, advancing applied research in AI, and delivering impactful models. Candidates will work on foundational models and leverage new technologies to optimize customer interactions with banking services.

The role involves developing AI foundation models, collaborating with cross-functional teams, and conducting applied research to enhance customer experiences using advanced AI techniques.

The Engineering Manager will lead a full-stack engineering team, focusing on technical guidance and mentorship while improving software development practices through Agile methodologies. Responsibilities include managing team performance, collaborating with product managers, and synthesizing customer feedback.

The Senior AI Engineer will design and build production-grade AI systems, integrating LLMs, developing automation tools, and managing CI/CD pipelines while ensuring compliance and optimal performance.

Define and execute the product strategy for Klaviyo’s employee-facing AI and automation platform, focusing on automation workflows, integrations, and AI adoption.