Top AI Jobs in Boston, MA

The Principal AI Architect will lead AI strategy in internal operations, designing AI-driven systems and improving IT reliability through AI integration, collaborating across departments, and mentoring teams.

As a Lead AI Engineer, you will design, develop, and scale backend and ML systems, mentor engineers, and collaborate to create predictive ML solutions.

The AI Product Manager oversees AI initiatives, translating business goals into actionable plans, collaborating on product delivery, and ensuring data integrity and compliance.

The Applied Researcher II will deliver AI-powered products, build foundation models, engage in applied research, and collaborate with cross-functional teams to enhance banking customer experiences.

Provide legal support for product management and teams, including drafting agreements, advising on tech regulations, and supporting M&A activities.

Drive a research agenda and lead R&D in Formal Methods and related fields. Manage funded research programs, engage with clients, mentor teams, and promote trustworthy systems through publications and presentations.

Lead cross-functional ML/AI initiatives, drive technical roadmaps, mentor teams, and deliver impactful ML/AI solutions for business growth.

Support the CTO in driving innovation strategy, evaluate technologies, draft proposals, collaborate on technical projects, and represent the company in industry events.

Lead the business operations and strategy for scaling an insurance marketplace, collaborating across functions to drive key outcomes and enhance user experience.

The Sr Director will lead a team to develop and execute the transplant market access strategy, ensuring optimal positioning, pricing, and collaboration across various functions.

Lead AI Platform Engineering at MassMutual, overseeing technology strategy and team management to deliver scalable AI systems. Collaborate across functions to align AI strategies with business objectives.

Lead the development and deployment of foundation models integrating diverse data sources to enhance health insights and member experiences. Oversee AI strategy, team management, budget optimization, and ethical AI practices.

As a Lead AI Engineer, you will design, develop, and deploy AI systems, collaborate with cross-functional teams, and optimize AI solutions for scalability and performance.

As a Lead AI Engineer, you will develop and support AI software components, partner with teams on AI products, and contribute to the technical vision of AI systems.

The Senior Lead AI Engineer will design, develop, and optimize AI software solutions, leading projects that leverage advanced machine learning techniques to enhance user experiences and operational efficiency at Capital One.

This role involves designing, developing, and deploying AI-powered products, optimizing models, and collaborating with cross-functional teams to enhance customer experience using AI at Capital One.

The Lead AI Engineer will design, develop, and deploy AI software, utilize various AI technologies, and work with a cross-functional team to enhance customer experiences through AI innovations.

The role involves partnering with cross-functional teams to develop AI products, designing and supporting AI software components, and optimizing large-scale AI systems for efficiency and performance.

Lead the AI Methods group within AICS, manage AI researchers, ensure robustness of AI models, and foster collaborations for drug discovery advancements.

The position involves teaching, conducting research on AI and wearable devices related to human movement, and engaging in university service.

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

Lead the Oncology Data Science team in developing data-driven solutions for low molecular weight drug development, leveraging AI and machine learning. Collaborate with stakeholders to execute data science strategies and ensure adherence to best practices in analytics.

The role focuses on integrating AI technologies into cyber defense, enhancing security controls, and mentoring junior engineers, while ensuring ethical use of AI.

Interns will conduct research in Physical AI focusing on humanoid robotics, developing algorithms and collaborating with engineering teams to validate results.

The Contracts Manager will oversee the contract lifecycle for university agreements, including drafting and negotiating contracts, ensuring compliance, and implementing process improvements. The role involves collaborating with stakeholders and leveraging technology to streamline contract management.