Agentic Workflows AI Jobs

Own a major roadmap area for Claude Science end-to-end, from vision to execution, working directly with researchers to translate real scientific workflows into shipped product.

Revenue Platform Architecture & Development. Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries.

Own the technical delivery plan for each engagement. Work from the signed SOW to a sequenced roadmap with clear milestones, dependencies, success criteria, and value hypotheses that FDEs execute against.

Lead, develop, and grow the managers and teams responsible for the consumer harms portfolio, including child safety, user well-being, harmful manipulation, and election integrity.

Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows.

Build and operate autonomous agents that run go-to-market motions end to end, across areas like inbound, outbound, pipeline management, and customer engagement.

Design and operate discovery operations across the full EDRM lifecycle (preservation, collection, processing, hosting, review, and production including for novel and AI-specific data types) Own the operational design and execution of the legal hold program including custodian identification workflows, hold issuance and tracking, periodic re-notification, custodian acknowledgments, and defensible release.

Own the PLG strategy end to end for organizations outside direct sales coverage — across nonprofits, education, sciences, and economic mobility — as one ecosystem, one community, and one market.

Design, build, and operate the CI/CD pipeline for a production Salesforce org and a portfolio of custom internal applications, from branching and validation through deploy and rollback.

Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a BDR Enablement.

Partner with Revenue Operations, Sales, and GTM Systems leaders to define, scope, and sequence the initiatives on the GTM Programs roadmap, prioritizing the work with the greatest impact on seller productivity.

Design, build, and own shared infrastructure for Interpretability - research environments, data systems, and compute tooling that researchers rely on daily.

Prototype rapidly to find define the AI frontier for cybersecurity work Design evaluations that measure model performance on the work security teams actually do.

Support the design and execution of interventions, defining key metrics, and curating evaluation datasets. Partner with. Engineering and. Data.

Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Build investigation, review, and enforcement tooling for both first-party and third-party platform surfaces — including case queues, investigation views, decision and audit logging, and account-actioning workflows.

Conduct comprehensive adversarial testing across. Anthropic's product surfaces, developing creative attack scenarios that combine multiple exploitation techniques.

Own the clinical research and evaluation agenda for our global health work — define what we need to prove, to what standard, and with whom, and drive it.

Translate new platform capabilities (API, tool use and MCP, Agent SDK, memory and skills) into demos, labs, and quick-reference guides within days of release, and build compelling demo scenarios across industries and developer personas.

Own strategy, priorities, and outcomes for the Model Exploitation & Fraud mission area; define what we detect, investigate, action, and share.

Own strategy, priorities, and outcomes for the Influence Operations & Surveillance threat intel mission area. Hire, manage, and develop a small team of technical threat investigators with IO and surveillance expertise.

Design and run experiments to improve Claude's perception and agentic capabilities. Develop robust, reliable evaluation frameworks for measuring our models' ability to complete complex computer tasks.

Build and lead the team: hire, coach, and develop a team of Applied AI Engineers dedicated to strategic life sciences partners, setting a high technical bar and helping each engineer grow.

Hiring, performance, and the culture that keeps strong engineers doing their best work Stay close to customers, design partners, and the security community; turn what you learn into products and unblock the team on the ones that matter.

We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to design silicon. Hardware design is difficult and unforgiving – exactly the sort of domain we want Claude to excel at.

Stand up, configure, and verify safeguards for every new model, and serve as the safeguards point of contact in the launch room during release windows.

Drive end-user excitement inside enterprise accounts (primary focus) Design and deliver customer-specific enablement programs — workshops, office hours, "build your first agent" labs, role-based curricula for engineering, data, platform, security, and knowledge-worker audiences.

Design and run new evaluations of Claude's capabilities — reasoning, agentic behavior, knowledge, safety properties — and produce visualizations that make the results legible to researchers and decision-makers.

Evolve our cross-product benchmark into a durable, trusted read on model and product value, spanning coding, agentic, and product-shaped tasks.

Build and extend web platforms for RL environment creation, management, and quality review — including environment configuration, versioning, and validation workflows.