Applied AI Architect, Strategic Enterprise Tech
AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.
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 pre-sales technical advisor for strategic enterprise accounts. You will translate customer needs into scalable architectures, reproduce customer environments, develop evaluations, lead workshops, support Claude integrations, and guide multi-quarter adoption roadmaps from discovery through deployment.
Requirements
- 8+ years of experience as a Field CTO, Solutions Architect, Sales Engineer, or Product Manager with hands-on building experience.
- Enterprise customer experience.
- Experience owning strategic enterprise accounts through complex buying cycles.
- Cloud architecture.
- Enterprise system integration.
- Python.
- LLM framework and tool knowledge, machine learning, or data science.
- Technical communication.
- Bachelor’s degree or equivalent education, training, or experience.
Responsibilities
- Partner with Account Executives to translate customer requirements into technical solutions.
- Serve as the primary technical advisor throughout customer discovery, evaluation, deployment, and adoption.
- Develop AI adoption strategies, architecture reviews, workshops, and use-case execution plans.
- Support customers using the Claude API and Claude for Enterprise.
- Create technical content for engineering teams and business executives.
- Reproduce customer environments and problems to prove production paths.
- Carry customer needs into product roadmaps.
- Guide architecture decisions and Claude integrations.
- Develop evaluation frameworks for customer use cases.
- Identify integration patterns and share insights with Product and Engineering.
- Travel occasionally to customer sites for workshops and technical deep dives.
- Maintain knowledge of LLM capabilities and implementation patterns.
Benefits
- Equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours
