Technical Architect
Technical Architect teaches engineering organizations and enterprise administrators to adopt Claude Code, lead successful rollouts, and deploy AI responsibly. The role combines hands-on software engineering, technical education, customer workshops, large-scale presentations, and 30–50% travel.
About the job
Responsibilities
- Deliver public webinars, customer workshops, multi-day onsite and virtual sessions, office hours, and multi-week cohorts for engineers, partners, and account teams.
- Run train-the-trainer programs and certify customer technologists and champions to deliver Anthropic material.
- Educate enterprise administrators on single sign-on, permissions, connectors, spend controls, data-handling policies, and other rollout requirements.
- Build polished presentations, demo repositories, and plugins quickly using Claude Code and related tools.
- Explore new product features and deliver inherited technical material effectively.
- Communicate customer issues and feedback to Claude Code, Claude Tag, Cowork, and product teams.
- Partner with account executives, customer success managers, Applied AI Architects, support engineers, and partner leads.
- Travel 30–50% for onsite sessions, workshops, and events.
Requirements
- 5+ years of experience as a software engineer, solutions architect, developer advocate, or similar.
- Current software engineering experience, including shipping production code and teaching engineering audiences.
- Ability to engage deeply with senior engineers across the technology stack.
- Experience using Claude Code or a similar agentic development tool.
- Experience presenting to large live audiences and adapting to last-minute changes.
- Strong communication, customer empathy, initiative, adaptability, and comfort with ambiguity.
- Interest in responsible AI deployment.
- Bachelor's degree or equivalent combination of education, training, and experience.
Nice-to-haves
- Enterprise identity and security review experience, including SAML, OIDC, SCIM, SOC 2, or HIPAA.
- Experience running Claude on Amazon Bedrock or Google Cloud Vertex AI.
- Experience with regulated industries or systems-integrator partners.
- Public technical teaching through talks, courses, videos, or writing.
Compensation
- Annual compensation: $250,000–$365,000 USD.
Skills
Claude Code, Claude Tag, Claude Desktop, Single Sign-On, SAML, OIDC, SCIM, SOC 2, HIPAA, Amazon Bedrock, Google Cloud Vertex Ai, Enterprise Identity, Security Review, Agentic Ai Tools
Similar jobs
Solutions Architecture jobs
Socure
San Francisco, CABuild and deploy AI-assisted RiskOS workflows for strategic customers, owning the path from discovery and technical scoping through production adoption. The role requires 4+ years of hands-on technical experience, customer-facing problem solving, and familiarity with APIs, cloud services, Python, SQL, and agentic or LLM systems.
Cloudflare
Austin, TXLead technical discovery and architecture for AI and Developer Platform solutions, partnering with sales and strategic customers to drive adoption and revenue. Requires 5+ years in cloud technical sales or support, production cloud and AI/ML experience, and strong full-stack architecture skills.
Anthropic
San Francisco, CAPartners with startup founders and engineering teams to design, evaluate, and deploy production LLM solutions on Claude. The role combines customer-facing technical advising, architecture guidance, technical evaluations, and sales collaboration, requiring 3+ years of relevant experience and strong Python and AI expertise.
Firecrawl
San Francisco, CA
Build enterprise security, deployment, and infrastructure capabilities for a cloud platform, translating sales and security-review requirements into reusable shipped features. Requires 5+ years in backend, platform, or cloud security engineering, multi-cloud or hybrid infrastructure experience, and strong TypeScript/Node.js skills.
OpenAI
Washington, DC
Own technical strategy and customer outcomes for public-sector organizations adopting OpenAI solutions, from discovery and evaluation through production deployment. The role requires strong government-sector fluency, cloud and software architecture expertise, modern AI knowledge, and executive-level customer communication.