Top AI Jobs in Boston, MA

Lead firmwide AI transformation by defining portfolio strategy, prioritizing high-impact AI initiatives, building governance and measurement frameworks, advising senior leaders with data-driven narratives, clearing execution roadblocks, and managing a team to deliver measurable strategic and financial value.

Lead scientific and strategic AI efforts for Vaccines Medical: define AI vision and roadmap, govern responsible AI standards, prioritize and deliver validated AI-enabled solutions, partner cross-functionally, oversee deployment and adoption, manage budget and vendors, and ensure regulatory, ethical, and scientific compliance across global medical affairs.

Lead Oncology AI product strategy and a cross-functional AI engineering team to translate scientific needs into scalable AI solutions across discovery, clinical development, and real-world evidence. Define roadmaps, governance, success metrics, stakeholder engagement, and adoption to move AI initiatives from pilots to sustained impact.

Design and prototype AI-powered solutions (LLMs, agents, prompts) to solve creative and operational problems, integrate AI with internal data and APIs, enable teams through documentation and training, and partner with engineering to productionize scalable workflows across Services.

Design and prototype AI-powered solutions for Customer Success using LLMs and automation. Translate business needs into roadmaps, build prompts/agents/ retrieval workflows, integrate APIs and internal data, enable teams with documentation and training, and partner with engineering to productionize scalable AI systems.

As a DevOps Engineer, oversee infrastructure for AI systems, manage Kubernetes clusters, GitOps pipelines, deployment strategies, security posture, and platform reliability. Collaborate with feature teams to enhance developer experience and manage infrastructure costs.

Lead design and build of an AWS-only AI Operations platform: hosting, IaC, registries (Accountability, Agent, Tool), identity/authorization patterns, developer DX, observability, and security hooks for agentic systems. Evangelize internally and partner on compliance and security integrations.

Build internal AI operations infrastructure and tools (knowledge systems, agent-builder UIs, dashboards, catalogs). Design data flows and decide centralization vs decentralization. Create discoverable, governable surfaces for teams to compose and trust agents. Run a portfolio of small internal products, prioritize requests, and ship production code while partnering with a technical infrastructure counterpart.

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 Lead AI Engineer will develop and deploy AI components, optimize large language models, and improve AI systems performance while collaborating with cross-functional teams.

Lead design and delivery of internal platforms, APIs, data/event pipelines, and AI-powered systems. Drive cross-team architectural direction, operational excellence (SLOs, monitoring, incident response), and mentor senior engineers while establishing standards, AI guardrails, and scalable reference implementations to improve productivity and reliability across the organization.

Build and operate backend and full-stack systems powering AI agent capabilities in Klaviyo Flows. Own end-to-end projects, design scalable async pipelines, REST/GraphQL middleware, and cloud-native infrastructure while partnering with product, ML, and data teams to deliver AI-driven marketing automation features.

Lead and grow a team building Klaviyo's Customer Agent conversational AI platform. Set technical direction, own roadmap, collaborate cross-functionally, guide system and model design, ensure reliability, hire and develop engineers and managers, and deliver scalable, AI-driven customer engagement features.

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 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.

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.

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

Lead engineering teams building AI-native, cloud-based finance platforms. Oversee design, governance, and delivery of distributed microservices and multi-agent AI workflows, mentor engineers, collaborate with product managers, and drive enterprise transformation using cloud, containers, and modern languages/tools.

Lead design, build, and deploy production-scale generative AI and agentic systems: foundation model training, LLM inference, vector search, guardrails, evaluation, observability, and performance optimization across cloud infrastructure.

Lead the Accounting Strategy and Financial Reporting team, focusing on M&A, investments, and new accounting standards while ensuring compliance with US GAAP and SEC requirements.

Lead the engineering team to develop Tulip's new agent-native app-building product, managing technical architecture and fostering AI-driven development practices.

The AI Product Manager oversees AI initiatives, translating business goals into actionable plans, collaborating on product delivery, and ensuring data integrity and compliance.

The Applied AI & Analytics Associate will conduct high-impact analytical work across functions, utilizing AI and data to drive business decisions and improvements, while collaborating with senior stakeholders and building analytical tools and models.

Lead and deliver large-scale AI/ML programs and the next-generation Generative AI platform. Build and grow a world-class TPM discipline, manage cross-functional delivery, mitigate technical risk, and drive execution across product, engineering, design, and data science to achieve business impact in regulated environments.