Top AI Jobs in Boston, MA

The AI Engagement Manager will lead strategic relationships with institutional owners to harness AI, improve asset performance, and drive measurable ROI across real estate portfolios.

Lead AI Engineer responsible for developing AI software components, partnering with cross-functional teams to deliver AI-driven products, and optimizing large-scale AI systems.

The Applied Researcher I will partner with cross-functional teams to develop AI-powered products, conduct applied research, and build AI foundation models using emerging technologies.

Lead the AI strategy and vision for Avigilon products, defining and architecting AI-enabled user experiences, and collaborating across teams to drive consistency and performance in AI capabilities.

As an Engineering Manager, you'll lead a team focused on AI-driven solutions, enhancing engineering productivity and mentoring engineers.

Lead research at Galois by developing externally funded programs in Formal Methods, collaborating with teams, mentoring staff, and engaging with clients.

Lead the implementation of AI agents for enterprise clients, ensuring successful delivery through technical execution, stakeholder management, and operational excellence.

The Conversational AI UX Designer will create AI-first experiences for customer support, focusing on conversational design, prototyping, user research, and collaboration with cross-functional teams to enhance customer service solutions for restaurants.

The Senior Lead AI Engineer will develop AI software components, partner with cross-functional teams, and contribute to AI system optimization. Key responsibilities include model training, deployment, and leveraging AI technologies to enhance banking services.

The Head of Data Science & AI Engineering leads Ipsen's technical strategy in advanced analytics and AI, overseeing data products, mentoring teams, and ensuring compliance in a dynamic biopharmaceutical environment.

This role oversees fraud analytics strategy, drives innovation in risk management, coaches team leaders, and partners with technology and product teams.

As a Backend Software Engineer II, you will develop and maintain member-facing features using WHOOP's AI capabilities, collaborating with cross-functional teams and ensuring high-quality software solutions.

The Business Analyst II will partner with the AI Product team to analyze data, drive product decisions, and enhance AI-driven member experiences through insights and recommendations.

The Senior Lead AI Engineer will develop and support AI software components, lead cross-functional teams, and optimize AI solutions for Capital One's banking systems.

Lead design, build, deploy, and support production AI systems (foundation model training, LLM inference, vector search, guardrails, evaluation, observability). Optimize large-scale model performance and collaborate with cross-functional teams to define technical vision and roadmap.

The Robotics and AI Co-op will work on vision-based robotic systems, developing navigation and machine learning algorithms, and documenting code while complying with standards.

The AI Application Engineer will design and deploy AI solutions, integrate them into cloud services, and collaborate with teams to enhance operational workflows.

The Senior Designer will create AI-driven user experiences, focusing on conversational design and orchestration, while collaborating with teams to enhance customer interaction with Toast's products.

The eGSM Lead drives innovation in regulatory submissions by optimizing processes through AI and automation, collaborating cross-functionally to enhance efficiency and quality. Responsibilities include strategic leadership, change management, and stakeholder engagement.

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.

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.