Technical Architect

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 Claude Code is changing how engineering organizations build software, and most of them need someone to show them how. That's you. Technical Architects help customers get real work done with Claude Code, Claude Tag (Claude Code as an agent in Slack), and the enterprise admin controls that decide whether a rollout succeeds. You'll teach customers, partners and Anthropic's own field teams. Just as important, you'll train the trainers who carry that knowledge to everyone else. We're hands-on AI engineers who would rather teach than sell. You'll work alongside customer engineering organizations, teaching them about Claude Code and shepherding rollouts with advanced admin knowledge. Most weeks you're in front of an audience with Claude Desktop or a terminal open: thousands of engineers on a public webinar one day, a customer's platform team in their own conference room the next week, office hours in between. The prep material often reaches you the day before. The team is growing quickly this year, scope will grow as new products ship, and the people who join now will shape how it works. Responsibilities - Teach in every format. Take a standing rotation on Anthropic's public webinars in front of thousands of engineers at a time. Lead workshops and multi-day onsites, in person and virtual, built around a customer's own codebase and questions. Host office hours and multi-week cohorts where engineers, partners, and account teams bring live problems. - Teach the teachers. Run train-the-trainer programs for customer technologists and champions, and certify them to deliver Anthropic's material. - Empower admins. Educate enterprise admins on the technical requirements for a strong rollout by guiding them through single sign-on, permissions, connectors, spend controls, data-handling policy, and other advanced topics. - Build fast with Claude. Turn a request into a polished deck, demo repository or plugin within a day, using the tools you teach. Explore new features the day they ship. Pick up a teammate's material and deliver it as if you wrote it. - Bring field signal back to product. Tell the Claude Code, Claude Tag and Cowork teams what customers run into, specifically enough that they can fix it. - Be the technical voice in the room. Partner with account executives, customer success managers, Applied AI Architects, support engineers and partner leads. - Travel. Expect 30 to 50%, in bursts around onsites, workshops and events. You may be a good fit if you have - 5+ years as a software engineer, solutions architect, developer advocate or similar. You still ship code and regularly teach engineering audiences. - Current engineering range. You've shipped code other people depend on. You can go deep with a senior engineer anywhere in the stack. You use Claude Code or a similar agentic tool every day and have opinions about it. - Big-stage presence. You've held large live audiences. You sound practiced with material you got that morning, and a broken demo doesn’t faze you. - Range in one conversation. You can go from banter to a rigorous design discussion, and both feel natural. - Care for people. You do right by a struggling customer, and you won't leave a confused room behind. - Initiative. You build things without waiting for permission, and you say when an idea is half-formed, including your manager's. - Steadiness when priorities shift, timelines are short and colleagues are under pressure. - Comfort with ambiguity in a fast-moving industry and product suite. - A stake in safe AI. You care that large organizations deploy AI responsibly, and you want to help them do it. - You love being on the frontier. You want to work at the edge of what’s possible and help define what comes next. Strong candidates may also have - Depth in enterprise identity and security review (SAML, OIDC, SCIM, SOC 2, HIPAA). - Experience running Claude on Amazon Bedrock or Google Cloud Vertex AI. - Time with regulated industries or with systems-integrator partners. - A public record of technical teaching: talks, courses, videos or writing. - An interest outside technology you can talk about with the same energy. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $250,000—$365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required fie

5+ years as a software engineer, solutions architect, developer advocate or similar. You still ship code and regularly teach engineering audiences. Current engineering range. You've shipped code other people depend on. You can go deep with a senior engineer anywhere in the stack. You use Claude Code or a similar agentic tool every day and have opinions about it. Big-stage presence. You've held large live audiences. You sound practiced with material you got that morning, and a broken demo doesn’t faze you. Range in one conversation. You can go from banter to a rigorous design discussion, and both feel natural. Care for people. You do right by a struggling customer, and you won't leave a confused room behind. Initiative. You build things without waiting for permission, and you say when an idea is half-formed, including your manager's. Steadiness when priorities shift, timelines are short and colleagues are under pressure. Comfort with ambiguity in a fast-moving industry and product suite. A stake in safe AI. You care that large organizations deploy AI responsibly, and you want to help them do it. You love being on the frontier. You want to work at the edge of what’s possible and help define what comes next. Strong candidates may also have depth in enterprise identity and security review (SAML, OIDC, SCIM, SOC 2, HIPAA). Experience running Claude on Amazon Bedrock or Google Cloud Vertex AI. Time with regulated industries or with systems-integrator partners. A public record of technical teaching: talks, courses, videos or writing.