Top AI Jobs in Boston, MA

Collaborate with cross-functional teams to develop AI products, conduct applied research, and innovate new AI capabilities to enhance customer experiences.

As an AI Engineer II, you will design scalable backend systems, develop data processing pipelines for ML models, and enhance AI agents for marketing strategies.

Design and develop web applications in a collaborative Agile team environment, contributing to healthcare solutions and improving doctor workflows.

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 Associate Director, Consumer Marketing will develop strategies for engaging T1D patients and families, oversee consumer marketing efforts, and collaborate with internal stakeholders.

Lead statistical strategies for clinical trials, manage projects, mentor junior staff, and implement innovative statistical methodologies within the Medical Affairs Biostatistics team.

Lead architecture and implementation of high-throughput, distributed backend systems for agentic AI and MCP servers. Drive cross-team platform strategy, mentor engineers, own complex multi-quarter projects, and ensure reliability, performance, and operational excellence across microservices and event-driven systems.

Lead WHOOP's AI strategy, developing intelligent systems to enhance health performance. Oversee cross-functional teams, ensure compliance, and foster innovation in AI applications.

Manage a team of engineers developing AI-driven features, ensure adherence to best practices, and foster a culture of innovation and learning.

The AI Innovation Manager will lead AI initiatives, collaborate across teams, evaluate technology, and drive adoption to enhance legal services efficiency.

As an Engagement Manager, you will manage project workstreams, synthesize data, guide a team, and support client interactions while optimizing supply chain operations.

The Principal AI and Automation Strategy Lead enhances statistical programming efficiency through AI solutions, collaborates cross-functionally, and drives innovation.

As a Principal AI Engineer, you will design and implement AI models, mentor others, and tackle complex problems in a collaborative team to deliver secure AI solutions for customers.

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.

The role involves partnering with cross-functional teams to deliver AI-powered products, conducting applied research, and developing AI foundation models. Candidates should have experience in AI methodologies and large deep learning models.

As an Applied Researcher I, you will collaborate with cross-functional teams to develop AI-powered products, conduct applied research, and enhance customer interactions in banking through innovative AI methodologies.

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 an Applied Researcher II at Capital One, you will partner with cross-functional teams to deliver AI products, engage in applied research, and develop models using cutting-edge AI methodologies and tools.

As an Applied Researcher, you will develop AI foundation models, collaborate with cross-functional teams, and drive research to enhance customer interactions in banking.

As an Applied Researcher II, you will develop AI foundation models, conduct high-impact research, and collaborate with cross-functional teams to enhance customer interactions through AI-powered products.

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.

Lead AI Engineer responsible for developing and deploying AI solutions, collaborating with cross-functional teams, and optimizing foundational AI systems.

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 Applied Researcher II will develop AI foundation models, collaborate with cross-functional teams, conduct applied research, and translate complex work into business goals.

The Senior Lead AI Engineer will design and develop AI-driven products, enhance scalable AI systems, and collaborate with cross-functional teams.