Applied AI Architect, Public Sector (Federal Civilan)

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping state and local government agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.

You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions
• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey
• Support customers building with Claude Code, the Claude API, and Claude for Enterprise
• Create and deliver compelling technical content tailored to different audiences
• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
• Identify common integration patterns and contribute insights back to our Product and Engineering teams
• Travel frequently to customer sites for workshops, technical deep dives, and relationship building
• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

Requirements:

• Prior experience working with US federal, state, and/or local agencies
• 5+ years of experience in technical customer-facing roles
• Experience navigating complex buying cycles involving multiple stakeholders
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders
• Strong technical communication skills
• Experience designing scalable cloud architectures and integrating with enterprise systems
• Familiar with Python
• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

Benefits:

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space