Top AI & Machine Learning Jobs in Boston, MA

As a Lead Data Science Analyst, you will develop predictive models, conduct statistical analyses, and create AI-driven solutions to enhance GTM strategy and customer outcomes.

Build and scale Klaviyo's AI-native Customer Agent platform across frontend and backend. Design conversational experiences, retrieval and orchestration systems, integrations, observability, and deployment. Drive architecture, mentor engineers, ensure reliability, and ship high-quality, scalable AI-driven customer engagement features.

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.

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

Design, build, and scale an AI-native conversational platform powering autonomous customer agents. Own full-stack systems, retrieval and orchestration, observability, and multi-channel experiences. Lead technical decisions, mentor engineers, and deliver reliable, tested, customer-facing features that enable brands to launch and improve configurable AI agents.

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.

Lead design and build of scalable full‑stack AI enablement platforms and tools to accelerate engineering workflows. Champion experimentation, automation (code generation, testing, deployment), best practices, and cross‑team collaboration while mentoring engineers and delivering production‑ready solutions.