Applied AI Architect, Commercial
San Francisco, CA | New York City, NY
Posted 16d ago
About the job
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers 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 technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. As a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities
- Partner with account executives to understand customer requirements and translate them into technical solutions.
- Serve as the primary technical advisor to customers throughout their Claude adoption journey.
- Support customers building with the Claude API, Claude Code, and Claude for Enterprise.
- Ship working code, build prototypes and proof-of-concepts, develop eval frameworks, and write near-production examples.
- Build reusable blueprints, demos, and enablement assets that scale across customers.
- 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 Product and Engineering teams.
- Travel occasionally 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
- 3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience.
- A builder identity with technical taste and care for the craft of building.
- A systems mindset focused on creating reusable solutions.
- Strong coding ability, comfortable working in a real codebase, with Python proficiency.
- Strong ability to build trust with technical stakeholders and adjust communication for varied audiences.
- Strong technical communication skills to translate customer requirements between technical and business stakeholders.
- Experience designing scalable cloud architectures and integrating with enterprise systems.
- Familiarity with common LLM frameworks and tools, or a background in machine learning or data science.
- Comfort operating in early-stage, ambiguous environments and building structure.
- Excitement for cross-organizational collaboration, working through trade-offs, and balancing competing priorities.
- A love of teaching, mentoring, and helping others succeed.
- Passion for thinking creatively about how to use technology safely and beneficially to advance safe AI systems.