Top AI Jobs in Boston, MA

This role involves designing and building AI software components, collaborating with cross-functional teams to deliver AI products, and contributing to the technical vision of foundational AI systems at Capital One.

Lead AI feature development, integrate large models, collaborate cross-functionally, ensure technical quality, monitor AI advancements, and build user interfaces and tools for AI applications.

Lead product management for AI and automation, develop strategies, manage portfolios, empower teams, and drive customer-focused product decisions to enhance operational efficiency.

The intern will assist HR by researching AI tools, recommending their implementation, and collaborating with teams for enhancing HR processes.

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.

The role involves leading GenAI/ML projects, developing ML models, mentoring engineers, and influencing product direction in a collaborative environment.

Lead a team building production AI/ML solutions, manage delivery from architecture to deployment, and ensure compliance and security standards.

Lead and develop Agentic AI solutions, mentor team members, collaborate on AI applications, and tackle complex challenges in cybersecurity.

The Software Engineer III will focus on leveraging Generative AI for patient solutions, enhancing voice AI agents, and managing technical projects while mentoring peers.

The Forward Deployed Engineer will architect and implement AI solutions for strategic customers, utilizing MongoDB technologies and iterative development. Responsibilities include embedding with clients, leading technical projects, and collaborating closely with sales and engineering teams to deliver impactful AI systems.

Lead strategic AI initiatives at Plymouth Rock, propose AI strategies, manage relationships with partners, and drive innovation across the organization.

The AI Enterprise Architect will design and evolve the technology landscape focusing on AI, cloud platforms, and integration, advising senior leadership for alignment with business strategies.

The Senior Lead AI Engineer will design, develop, and deploy AI systems, focusing on LLM customization and optimization while leading cross-functional teams.

As a Senior AI Engineer, you'll develop AI software components, optimize performance of AI systems, and contribute to foundational AI technologies at Capital One.

The Lead Product Manager, Data and AI at Robin will define AI strategies, oversee product roadmaps, lead cross-functional teams, and translate technical capabilities into user-friendly product features.

As an Applied Researcher I, you'll leverage AI and machine learning to develop innovative banking solutions, engaging with cross-functional teams to deliver impactful AI products while conducting high-impact applied research.

We are seeking a Senior Software Engineer specializing in AI to enhance our Website Experience Platform. Responsibilities include developing AI-driven solutions to optimize web experiences for users. This role involves collaboration with teams to deliver performant digital experiences, focusing on customer trust and quality delivery.

Lead a team to develop Dropbox's AI product, Dash. Focus on driving product revenue, operational agility, and mentoring team members. Utilize ML techniques and data-driven insights for decision making.

The role involves designing and developing automation systems using low-code/no-code platforms and AI, improving operations in real estate technology.

The Principal Product Manager will define the product roadmap, develop AI/ML models, work with engineering to launch safety products, and understand customer needs.

Lead North America's Digital Engagement & Analytics team to enhance customer experiences through digital channels, partnering across functions to drive brand strategies and efficiencies.

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

The role involves managing AI/ML products at Velocity Black, collaborating with stakeholders, optimizing concierge services, and driving innovation. Candidates should have experience in product management and a passion for AI/ML technologies.

Lead a team of developers to deliver AI-driven data solutions, utilizing AWS, Python, SQL, and big data technologies while collaborating across Agile teams.

Lead the LLM as a Service team to innovate customer experiences, manage scalable AI infrastructure with Kubernetes, and collaborate with security teams to comply with standards.