Top AI Jobs in Boston, MA

The Sr. Lead AI Engineer will design scalable AI services, lead technical projects, improve architectures, mentor engineers, and ensure quality in AI systems.

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.

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.

Define and execute the product strategy for Klaviyo’s employee-facing AI and automation platform, focusing on automation workflows, integrations, and AI adoption.

The AI Automation Specialist identifies business process bottlenecks and develops automation solutions using modern AI and low-code platforms, working closely with stakeholders to implement solutions end-to-end.

As a Senior Salesforce Administrator, you'll architect technology solutions for sales and operations, focusing on AI-powered workflows, Salesforce solutions, integrations, and data reporting.

Lead AI Engineer to develop and optimize AI systems, focusing on LLMs and AI services. Collaborate with cross-functional teams to deliver AI-driven products and contribute to the technical roadmap.

The Lead Product Manager will strategize and execute the AI-native marketing orchestration product, enhancing user interactions with AI integrated into marketing workflows and improving system reliability and effectiveness.

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 role involves leading AI strategy and implementation, overseeing teams, managing client accounts, and delivering strategic business solutions to enhance client value.

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 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.

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.

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

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

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

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.

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.

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 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.

As Product Manager II for AI & Data Security, you'll own the roadmap for AI capabilities, manage security posture, collaborate with engineers and researchers, and engage customers to enhance AI systems security.

Lead technical design and delivery of production AI/ML and GenAI solutions (RAG, LLMs, agents). Build, tune, deploy, and monitor models and APIs, own MLOps practices, operate cloud AI workloads, ensure software quality and responsible AI, and partner with cross-functional stakeholders while mentoring engineers.