Top AI Jobs in Boston, MA

The Sr Manager in AI Product Management drives the identification and adoption of AI solutions across business processes, partnering with various teams to improve workflows and ensure efficient automation while maintaining compliance and governance.

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.

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 Commercial Financial Analyst will manage revenue forecasting, financial reporting, and analysis while supporting business leaders with financial insights and ad hoc projects.

The Product Manager will lead research on competitive metrics and AI impact, ensuring product strategy aligns with market needs and informing senior leaders.

The role involves leading teams to develop AI solutions addressing sustainability challenges, managing client accounts, and upholding ethical standards in technology integration.

Lead AI Engineer will partner with teams to deliver AI products, design and support AI software, and optimize AI systems.

Design, develop, test, and support AI systems, collaborating with cross-functional teams to deploy AI-powered products. Engage in advanced AI model optimization and contribute to the overall technical vision at Capital One.

The Junior Customer Success Manager is responsible for developing relationships with customers, addressing concerns, presenting solutions, and coordinating sales efforts to drive product value.

Lead the sales team, drive direct sales to new clients, establish sales objectives and quotas, train staff, and maintain professional knowledge.

The Knowledge Enablement Specialist will shape AI knowledge consumption by optimizing content for AI support, analyzing trends, and driving frameworks for AI performance improvement.

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

Lead the development of AI-powered products and solutions at Capital One by partnering with cross-functional teams to advance AI capabilities and improve customer interactions.

In this role, you will lead AI projects, collaborating with cross-functional teams to develop and deploy advanced AI solutions, focusing on LLM inference and model optimization.

The role involves designing and developing AI software solutions, collaborating with cross-functional teams, and optimizing large-scale AI systems for performance and scalability.

The Senior Lead AI Engineer will develop and support AI software components, partner with cross-functional teams, and enhance AI systems performance. Responsibilities include designing, deploying, and optimizing AI models for improved banking services.

The Distinguished AI Engineer will develop and support AI software components, lead AI system architecture, and mentor teams, focusing on scalable AI solutions.

Lead the development of AI-powered products by collaborating with cross-functional teams, designing AI components, and optimizing models for performance and scalability.

The Senior AI Engineer will design, develop, and deploy AI software components, optimize LLM performance, and collaborate with cross-functional teams to deliver impactful AI solutions.

As a Sr. Distinguished AI Engineer at Capital One, you'll design, develop, and deploy AI software components, collaborate with cross-functional teams, and enhance AI systems focusing on responsible and scalable solutions while driving technical vision.

As a Distinguished AI Engineer at Capital One, you will design and develop AI-powered software components, deploying scalable AI solutions while collaborating with cross-functional teams to advance AI technology in banking.

Lead end-to-end post-training lifecycle for LLMs: curate SFT and preference datasets, run SFT and preference optimization, evaluate and monitor models, deploy agentic LLM systems, integrate into low-latency production, and provide technical leadership for alignment, safety, and versioning.

The role involves architecting and maintaining marketing databases, implementing data infrastructure for AI/ML, managing data pipelines, and collaborating with stakeholders to develop data-driven solutions.

Lead AI and analytics product strategy for TigerConnect by defining roadmaps, requirements, and ROI-driven analytics. Drive AI/ML integration, responsible AI governance, customer discovery, pilots, and cross-functional execution to deliver measurable healthcare outcomes and autonomous workflow solutions.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.