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Anthropic is seeking a Manager of Applied AI Architecture for its Commercial segment. You will lead a team of technical architects who help mid-market and SMB customers build and deploy applications using Claude API, Claude Code, the Agent SDK, and Claude for Enterprise. This is a first-line leadership role reporting to the Head of Applied AI, Commercial.
Your core responsibilities include managing and growing a team of architects, owning hiring and onboarding as the team scales, setting goals and conducting reviews, and developing each architect's career. You will decide where your team's technical depth is deployed, own qualification and prioritization frameworks for a large customer base, and work alongside architects on their most consequential engagements—from discovery through deployment and expansion.
You will build and own technical playbooks for Claude integrations, Claude Code rollouts, agentic architectures, and enterprise deployments. These account-level wins become reusable assets that scale across the segment. You'll partner closely with Commercial sales leadership to co-build segment strategy, tighten the AE-to-architect operating model, and drive adoption. Your team will surface how mid-market companies are building with Claude and translate that signal into actionable feedback for Product and Engineering.
You'll represent Anthropic technically at customer sites, workshops, and events, contributing to thought leadership. You must stay ahead of the AI engineering landscape—agentic architectures, eval design, context engineering, developer tooling—and keep your team operating at the frontier.
Required: 7+ years in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 3+ years managing pre-sales or technical go-to-market teams. You should have hands-on experience building and deploying LLM-powered applications, understand production deployment, and can engage with customer engineering leadership. Familiarity with agentic architectures, LLM evaluation, and modern AI developer tooling is essential. You bring a systems mindset—solving problems by building one thing for ten customers rather than ten for one. You're comfortable in ambiguous, early-stage environments and have a track record of building structure as you go.
