275K–315K USD / year
Applied AI Architect, Public Sector (GovTech)
AIHybrid — Washington, DC
Published on 2026-10-23
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Serve as a pre-sales technical advisor to government technology customers, helping them evaluate and deploy Claude. Architect scalable LLM solutions, develop evaluation frameworks, and guide customers from technical discovery through deployment while collaborating with Sales, Product, and Engineering.
About the company
Anthropic builds reliable and interpretable AI systems, including the Claude family of models, for businesses and developers. The company focuses on AI safety research and practical AI assistants for enterprise and consumer use.
Stack
ClaudeClaude CodeClaude APIClaude for EnterprisePython
What you'll do
- Translate customer requirements into technical solutions aligned with business objectives
- Advise customers through discovery, evaluation, and deployment
- Support customer use of Claude Code, the Claude API, and Claude for Enterprise
- Deliver technical and executive-level presentations and content
- Guide architecture and enterprise integrations
- Help customers develop evaluations for their use cases
- Share integration patterns and customer insights with Product and Engineering
- Travel to customer sites for workshops and technical sessions
What we're looking for
- 5+ years in a technical customer-facing role such as Solutions Architect, Sales Engineer, or Technical Account Manager
- Experience navigating complex, multi-stakeholder buying cycles
- Experience designing scalable cloud architectures and enterprise integrations
- Familiarity with Python
- Strong technical communication and relationship-building skills
- Bachelor’s degree or equivalent combination of education, training, and experience
Nice to have
- US Secret Clearance
- Experience in government, government contracting, or GovTech
- Familiarity with LLM frameworks and tools, or a background in machine learning or data science
