Top AI Jobs in Boston, MA

Responsible for defining and executing strategies for market expansion and revenue growth of AI products, requiring technical understanding and market leadership skills.

Design, build, train, and deploy AI models for healthcare applications, collaborate with product management, and integrate solutions.

As a Data Scientist, you will design and deliver complex predictive models, communicate insights, and mentor less experienced talent while solving key business challenges using advanced statistical techniques and machine learning.

The Scientific Editor will evaluate submissions, build networks for contributions, and collaborate on journal strategy to enhance impact.

As a Senior IT Manager, oversee technology initiatives, digital transformation, and IT services while collaborating across teams and managing stakeholder relationships.

The Lead AI Engineer will develop and deploy AI components, optimize large language models, and improve AI systems performance while collaborating with cross-functional teams.

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 strategic initiatives within Global Human Resources by leveraging AI, managing cross-functional programs, employing data analysis, and improving operational compliance.

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.