Artificial Intelligence Jobs in Cambridge, MA

The Marketing Operations Lead is responsible for optimizing systems and processes in marketing and sales, enhancing demand generation efficiency, and integrating with various data systems.

Lead design, development, deployment, and support of scalable GenAI platform components (foundation model training, LLM inference, vector search, guardrails, evaluation, observability). Optimize training and inference performance, contribute to technical vision and roadmap, and partner with cross-functional teams to deliver responsible, production-grade AI systems.

Lead modernization of enterprise AI/ML infrastructure and analyst workflows. Build agentic, scalable, secure platform services, integrate generative AI and low-code/no-code tooling, scale AutoML for tabular and time-series, and engineer automated governance and controls while mentoring teams and influencing cross-functional stakeholders.

Lead architecture, design, and delivery of Klaviyo's Customer Agent conversational AI platform. Drive technical strategy, build scalable AI-enabled features, establish observability and reliability practices, mentor engineers, and coordinate cross-functional initiatives to deliver production agentic systems for millions of users.

Lead architecture, design, and implementation of a scalable conversational AI platform (Customer Agent). Drive technical strategy for LLM-powered agentic systems, retrieval, orchestration, memory, evaluation, and reliability. Ship AI product features, establish observability/testing/operational best practices, lead cross-functional initiatives, mentor engineers, and evaluate emerging AI technologies to deliver reliable customer-facing experiences.

As an Applied Researcher II, you will create AI systems for banking, working with cross-functional teams to develop and implement AI-powered products, while conducting applied research and engaging with emerging technologies.

The role involves partnering with a team to deliver AI products, utilizing various technologies and conducting applied research to enhance customer experiences leveraging AI.

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, build, deploy, and support of foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize production LLM performance (cost, latency, throughput) and contribute to long-term technical vision.

Lead development and deployment of foundational AI systems: design, build, test, and support LLM training and inference, similarity search, guardrails, observability, and optimizations for scalability, cost, latency, and throughput while shaping technical vision and collaborating with cross-functional partners.

Lead design, development, deployment, and support of foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, and observability. Optimize large-scale AI performance (cost, latency, throughput), partner cross-functionally, and contribute to technical vision and roadmap.

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.

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.

The Senior Lead AI Engineer will develop and support AI software components, collaborate with cross-functional teams, and enhance banking experiences through AI systems.

Conduct applied research and build AI foundation models, particularly large language models and agentic AI systems, across design, training, evaluation, validation, and production implementation. Partner with data scientists, engineers, and product managers to deliver scalable AI products. Research optimization, fine-tuning, robustness, explainability, and related deep learning methods while translating technical findings into business outcomes and independently pursuing impactful research agendas.

The Lead AI Engineer will design, develop, and support AI software components, leveraging various AI technologies to enhance banking services. The role involves partnering with cross-functional teams to deliver AI-powered products and optimize large-scale production AI systems.

Design, develop, test, deploy, and support production AI systems, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Develop state-of-the-art optimization techniques to improve scalability, cost, latency, throughput, and hardware utilization. Shape the long-term technical roadmap for foundational AI platforms while collaborating with engineers, research scientists, program managers, and product managers. Lead and mentor engineering teams and influence senior cross-functional stakeholders.

Participate in an accelerated consulting program delivering cloud and AI solutions for Life Sciences customers. Configure software, design workflows, structure data, conduct discovery workshops, translate business requirements into technical specifications, manage implementation scope and timelines, and guide customers through successful go-live. Collaborate with internal teams and external stakeholders while developing technical consulting, industry, and project delivery expertise.

Leads Regeneron’s pharmacovigilance systems and enablement strategy across Global Patient Safety. Owns PV systems architecture, processes, modernization roadmaps, AI use-case prioritization, regulatory compliance, validation, and data integrity. Partners with IT, AI, cloud, compliance, and functional teams to translate requirements into solutions, oversee vendors and delivery, maintain operational reliability, and drive responsible AI adoption. Builds high-performing teams and influences enterprise priorities.

Leads complex commercial sales and negotiation strategies for strategic customer accounts. Develops customer-centric offers, pricing scenarios, contract structures, and close plans to drive revenue, cloud adoption, renewals, and growth. Advises internal and external stakeholders, coordinates account and partner teams, assesses deal, legal, profitability, and compliance risks, and ensures adherence to commercial policies and regulatory requirements. Coaches sales teams and uses AI-enabled tools and sales metrics to improve pipeline conversion and deal outcomes.

Leads and develops a team of 4–6 Account Executives selling enterprise AI-powered safety and operations solutions. Responsibilities include coaching, pipeline management, forecasting, account planning, deal negotiation, customer health monitoring, cross-functional growth initiatives, and supporting strategic customer conversations across manufacturing, logistics, and warehousing markets.

Own strategy and execution for Klaviyo's Analytics AI product area, principally the Analytics Agent. Define quality measurement, AI-generated analytics UX, and query infrastructure transitions. Partner cross-functionally to ship data-grounded LLM experiences, ensure metric accuracy and platform health, write rigorous product specs, and support multi-brand Enterprise analytics needs.

Leads product vision, roadmap, backlog management, prioritization, and Agile delivery for AI-enabled workflow transformation in Global Corporate Trust. Identifies process improvement opportunities, translates stakeholder needs into scalable solutions, coordinates testing and delivery, evaluates emerging AI capabilities, and drives change management, readiness, and adoption. Partners with business and technology teams to deliver governed AI solutions that improve productivity, decision-making, operational efficiency, and stakeholder experiences.

Manage and grow sales across named state, local, and higher-education accounts in New England. Exceed sales targets through consultative selling, develop new and existing customer relationships, present solutions to decision-makers, and build account plans. Partner with systems engineers, professional services, executives, technology partners, and channel organizations to position networking and cloud solutions. Navigate government procurement, generate demand through events, and maintain knowledge of competitive technologies.

Lead the strategy and execution of MaintainX reporting, analytics, and ROI products. Expand capabilities from frontline managers to enterprise stakeholders, including operations, finance, and EHS leaders. Partner with data, infrastructure, design, engineering, sales, and post-sales teams to define requirements, support enterprise deals, prioritize roadmap investments, and measure customer and business outcomes through KPIs.