Technical Deployment, Applied AI at Anthropic

About Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. 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

As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes.

This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis.

You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors.

Responsibilities

Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses.

Lead technical discovery. Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.

Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams.

Own product scoping for field engagements. Define the MVP, author requirements documentation, prioritize the engineering backlog.

Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications.

Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement.

Codify reusable delivery assets. Build solution patterns, evaluation frameworks, and technical playbooks.

Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements.

Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications.

Run delivery operations. Sprint ceremonies, milestone reviews, and progress reporting.

Travel to customer sites (25-50% expected).

You May Be a Good Fit If You

Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.

Have delivered AI, ML, or LLM-based agentic solutions into production.

Have experience in a specialized vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.).

Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions.

Have a track record delivering complex, high-stakes technical projects for enterprise clients.

Have executive presence.

Thrive in ambiguity and bring structure where none exists.

Have a builder's mindset.

Annual Salary: $200,000 - $345,000 USD

Logistics

Minimum education: Bachelor's degree or equivalent

Location-based hybrid policy: at least 25% in office

Visa sponsorship: Available on case-by-case basis

Locations: Austin, TX / Boston, MA / New York City, NY / San Francisco, CA / Seattle, WA