Top AI Jobs in Boston, MA

The role involves partnering with cross-functional teams to design, develop, and deploy AI software solutions, focusing on large language models and AI optimization techniques.

The role focuses on building and automating AI workflows for Snyk's AI Security Business Unit, while aligning technical solutions with business objectives and enabling teams with AI tools.

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 Senior Product Manager will drive AI Customer Agent strategies, oversee product lifecycle, and collaborate with cross-functional teams to enhance user experiences.

As a Senior AI Engineer at Klaviyo, you will design and build scalable backend systems and AI solutions, collaborating with product managers and engineers to enhance AI technologies for optimizing customer experiences.

The Lead AI Engineer will develop AI solutions, partner with cross-functional teams, and optimize large-scale production AI systems using various technologies.

Partner with teams to deliver AI-powered products, build foundation models, and conduct applied research to enhance customer experiences.

Lead the development of AI systems, collaborating with cross-functional teams to create AI-powered products and optimize AI technologies for performance and scalability.

The Senior Manager oversees AI and GenAI data science teams, driving complex analytics projects, coaching teams, and ensuring high-quality solutions. Responsibilities include managing GenAI development, collaborating with clients, presenting findings, and leading business development activities.

The role requires oversight of the product lifecycle for an AI-powered security platform. Responsibilities include strategy, customer engagement, and collaboration across teams to deliver features and value-driven market solutions.

The role involves shaping and optimizing GTM strategies, enhancing SDR effectiveness, utilizing AI solutions, and conducting data analysis to support growth initiatives at Datadog.

The Global AI-Enhanced Quality Manager will lead the QA strategy, modernize practices using AI, and ensure high standards for consumer experiences internationally.

The role involves leading AI and GenAI solution development, managing analytics teams, and driving business growth through strategic direction and client engagement.

The Senior Software Engineer will design and implement high-performance C++ code for AI models on embedded camera systems, optimizing for performance and real-time analysis.

The role involves owning the product strategy and roadmap for Advisor360°'s data fabric, managing data governance, and ensuring operational health of data science and ML models. The candidate will lead cross-functional collaboration, drive product adoption, and maintain oversight of data product quality and performance.

The VP of Product (AI) will lead the AI product strategy, transforming health engagement through innovative AI solutions while managing cross-functional teams to deliver measurable outcomes.

The Product Manager II, Agent Development at WHOOP will design and improve AI agents for health coaching, collaborate with various teams, and ensure effective communication and user understanding across platforms.

Lead the AI Strategy team to define and execute strategies for leveraging AI and emerging technologies within MassMutual, partnering with senior leaders to drive transformational impact across the organization.

As an Applied Researcher II, you'll develop AI models, collaborate across teams, conduct applied research, and drive innovations in AI to improve customer experiences.

The role involves leading AI solutions development, optimizing AI systems, and collaborating with cross-functional teams to enhance customer interactions at Capital One.

The Applied Researcher I role involves developing AI foundation models, collaborating with cross-functional teams, and conducting advanced research to enhance banking experiences with AI.

The Lead AI Engineer will design and develop AI software components, optimize large-scale production AI systems, and contribute to the technical vision for AI solutions at Capital One.

The role focuses on delivering AI-powered products using advanced AI methodologies, including large language model development and reinforcement learning, within a collaborative research environment.

Lead cross-functional teams to develop and deploy AI-powered products, focusing on model training, inference, and system optimization. Innovate AI solutions that enhance banking experiences and use cutting-edge technologies to lead in AI engineering.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.