Top AI Jobs in Boston, MA

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

Lead GTM strategy for AI products, drive sales implementation and adoption, define KPIs/OKRs, enable teams with agentic AI workflows, and translate technical capabilities into measurable business outcomes across cross-functional stakeholders.

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 product efforts to modernize finance systems by driving AI and automation initiatives. Define product strategy, ensure compliant, audit-ready deliveries, collaborate cross-functionally, and measure operational leverage from automation and AI-enabled solutions.

Lead end-to-end delivery of custom technology solutions across supply chain functions (planning, manufacturing, warehouse, logistics, merchandising). Define architectures and roadmaps, identify agentic AI use cases, guide development/testing/deployment, lead cross-functional teams, manage scope/timelines/budgets, and run client workshops to translate technical solutions into business outcomes.

Lead and grow Tulip’s AI Process Engineers community by building relationships with frontline manufacturing practitioners, designing community and program growth strategies, gathering feedback to improve training and labs, hosting events and workshops, collaborating with marketing and product, creating content, and traveling regularly to promote and expand the program.

Design and build an enterprise generative AI platform: agent orchestration, memory, guardrails, vector search, SDKs, and blueprints. Standardize agentic workflows, optimize orchestration and cost, own Helm/Kubernetes operators, ensure trust and safety, mentor engineering teams, and evangelize platform architecture internally and externally.

Lead design and delivery of an agentic AI platform: define architecture, standardize agentic workflows, build GenAI SDK/CLI, harden guardrails and observability, optimize orchestration and costs, own Helm/K8s operators for autoscaling, incubate RFCs and proofs of concept, and mentor engineering leaders while evangelizing platform practices internally and externally.

Lead design, development, deployment, and support of production-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability). Drive LLM optimizations, technical vision, and cross-functional delivery of responsible AI products.

Lead design, build, deploy, and support foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, observability, and optimization. Partner with cross-functional teams to deliver scalable, performant, and responsible generative AI platform services and contribute to long-term technical vision and roadmap.

The role involves operating and improving AI-driven data quality pipelines, managing offshore teams, and ensuring data accuracy and reliability. Responsibilities include monitoring pipeline performance, refining rules, and collaborating across teams to enhance data operations.

Own backlog prioritization and delivery for AI platform capabilities (MCP connectors, ingestion pipelines, platform enablement). Translate prototypes into requirements, coordinate delivery across Technology, Security, and Investment teams, monitor production health, run UAT, manage governance (RAIC) submissions, and drive iterative improvements and documentation to support adoption.

Lead and scale a data engineering and analytics platform team to deliver Snowflake and Databricks-based AI/ML solutions. Drive architecture, build AI-powered data agents, ensure data pipelines, governance, and platform reliability, and partner cross-functionally to align delivery with business goals while developing talent and vendor/offshore strategies.

Lead enterprise AI strategy for clinical development, driving adoption of AI/ML, LLMs, generative and agentic AI across trial design, execution, data review, and regulatory readiness. Partner cross-functionally to build, validate, govern, and scale AI tools that improve trial performance, operational efficiency, and decision-making while engaging regulators and external collaborators.

Build and lead development of Klaviyo's conversational AI platform: native chat surface, agent orchestrator, and agentic UI. Design scalable, reliable systems, ship high-quality code, mentor engineers, drive technical decisions, and improve AI-powered customer experiences.

The Marketing Operations & Transformation Consultant drives operational excellence by improving processes, implementing AI-enabled tools, and leading strategic marketing initiatives across departments.

The AI Engineer will develop production-grade AI tools, bridge business needs with technical solutions, and mentor other engineers while ensuring scalability and security in AI integration.

The Technology Consultant will deliver technology solutions for Supply Chain and Manufacturing, focusing on data strategies and digital transformation across enterprises. This role involves leading projects with modern technologies and mentoring teams for continuous professional development.

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 Director of Data & AI Partnerships is responsible for developing account strategies, cultivating partnerships with pharma/biotech clients, and driving revenue goals while ensuring delivery on strategic objectives.

The Senior Lead AI Engineer will develop and support AI software components, lead cross-functional teams, and optimize AI solutions for Capital One's banking systems.

Lead AI Engineer responsible for developing AI software components, partnering with cross-functional teams to deliver AI-driven products, and optimizing large-scale AI systems.

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

The Senior Lead AI Engineer will develop AI software components, partner with cross-functional teams, and contribute to AI system optimization. Key responsibilities include model training, deployment, and leveraging AI technologies to enhance banking services.

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.