Top AI Jobs in Boston, MA

As an Applied Researcher I, you will partner with a cross-functional team to develop AI-powered products, build AI foundation models, and conduct high-impact applied research in machine learning.

The role involves designing and deploying AI systems for clinical operations, developing models for decision-making, and ensuring AI implementation aligns with data governance standards. Responsibilities include collaborating across teams, enhancing operational efficiency, and advancing AI applications in a regulated environment.

As an Applied Researcher I, you'll partner with cross-functional teams to deliver AI-powered products, build foundation models, and engage in applied research on advanced AI techniques.

As an RFM AI Governance Manager at PwC, you will lead teams in developing AI governance frameworks, conduct risk assessments, and mentor junior staff, ensuring compliance with regulations and firm policies.

This role involves leading the development of AI-powered products, optimizing large scale AI systems, and mentoring cross-functional teams. It focuses on designing and deploying AI components, contributing to the technical vision, and applying cutting-edge AI techniques.

Lead design and delivery of AI/GenAI solutions: build and deploy scalable ML models, manage data pipelines and infrastructure, mentor teams, ensure data quality and compliance, and collaborate with stakeholders to drive AI-driven business outcomes.

The Senior AI Researcher will design and optimize multimodal models, conduct applied research, and collaborate with teams to enhance WHOOP's AI systems.

The Revenue Systems Architect will own and evolve the revenue systems stack, lead configuration and development, implement AI agents, oversee data governance, and collaborate with various stakeholders for technical specifications.

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 Research Engineer will design and conduct experiments at the intersection of manufacturing and AI, developing workflows and integrated systems to enhance manufacturing processes and technologies.

Lead product strategy and development for AI-native solutions, focusing on user data sovereignty and enterprise integration. Drive market expansion and feature adoption with innovative AI tools and team leadership.

The AI System Architect will oversee AI integration strategy, system governance, and architecture for enterprise applications, leading a technical team and shaping AI initiatives across platforms.

The role involves designing, developing, and supporting AI software components, leveraging various AI technologies, and optimizing performance for large-scale AI systems.

The Regional Sales Manager leads a team to exceed revenue goals, develop strategic market plans, manage customer relationships, and foster partnerships in a collaborative environment.

The Head of Application Development leads software engineering and application development across all business areas. Responsibilities include strategic planning, team development, performance management, ensuring delivery of quality software, and managing relationships with stakeholders and vendors.

Lead scientific vision and strategy for global vaccines research, build and manage multidisciplinary R&D teams, prioritize portfolio and resources, advance vaccine candidates across platforms (mRNA, viral vectors, protein subunit, conjugates), embed AI/ML and digital tools, ensure CMC and assay readiness, engage external partners and regulators, and represent Vaccines R&D in internal and external forums.

Lead quantitative research and development for systematic trading and analytics platforms. Build and maintain trading infrastructure, develop production models and complex client algorithms, optimize execution and transaction costs, and manage a team of quantitative experts while collaborating with product, tech, and trading desks.

The role involves managing AI and automation product initiatives, driving innovative customer experiences, and ensuring compliance in product delivery while focusing on business strategy and technology solutions.

As a Senior Lead AI Engineer, you will design, develop, and deploy AI software while partnering with cross-functional teams to enhance customer interactions and business operations at Capital One.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

The role involves architecting a scalable AI platform, building distributed compute solutions, optimizing technologies, and mentoring internal talent in AI and ML.

As a Senior Lead AI Engineer, you will develop AI solutions, partner with cross-functional teams, optimize LLM performance, and contribute to the AI vision at Capital One.

The Lead Product Designer will set design direction, collaborate with cross-functional teams, drive user experiences, and mentor team members for impactful design solutions.

The Principal AI Engineer will design AI-powered workflows, partner with stakeholders, and build production-level systems in a cross-functional environment.

Manage litigation strategies and oversee complex disputes across jurisdictions, advising senior leaders and coordinating with outside counsel while implementing technology for efficiency.