Applied AI Architect Commercial
1 month agoSeniorSalary: 240K - 315KSan Francisco, CA | New York City, NYHybridSalesJobs by Anthropic
AnthropicVisit Anthropic website
AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.
San Francisco, United States
Funding history
About Anthropic
Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will act as a trusted technical advisor for commercial customers adopting Claude. You will translate requirements into scalable solutions, build prototypes and evaluation frameworks, create reusable blueprints and demos, and guide customers from discovery through deployment.
Requirements
- 3+ years of technical software engineering experience with customer-facing exposure, or 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager
- Python
- Technical communication
- Cloud architecture
- Enterprise system integration
- LLM frameworks
- Machine learning or data science
- Bachelor’s degree or equivalent education, training, or experience
Responsibilities
- Partner with account executives to translate customer requirements into technical solutions
- Advise customers throughout discovery, evaluation, and deployment
- Support customers building with the Claude API, Claude Code, and Claude for Enterprise
- Build prototypes, proof of concepts, evaluation frameworks, and near-production examples
- Create reusable blueprints, demos, and enablement assets
- Guide architecture decisions and Claude integrations
- Help customers measure Claude performance for specific use cases
- Share integration patterns and product insights internally
- Travel occasionally to customer sites for workshops and technical deep dives
- Maintain knowledge of LLM capabilities and implementation patterns
Benefits
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours
