Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 2
Machine Learning @ 2
Data Science @ 2
Communication @ 6
Mentoring @ 3
API @ 3
LLM @ 3
Claude Code @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping federal civilian 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 our high standards for safety and reliability.
Working closely with 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 deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
- Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment; coordinate internally across multiple teams & stakeholders to drive customer success
- Support customers building with Claude Code, the Claude API, and Claude for Enterprise
- Create and deliver compelling technical content tailored to different audiences (technical deep dives for engineering teams up to business value conversations with executives)
- 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 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
- Must have prior experience working with US federal agencies
- 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
- Experience navigating complex buying cycles involving multiple stakeholders
- Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders including C-suite executives, engineering & IT teams
- Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
- 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
- Excitement for cross-organizational collaboration, working through trade-offs, and balancing competing priorities
- A love of teaching, mentoring, and helping others succeed
Compensation
- Annual Salary: $240,000 - $270,000 USD
Logistics
- Education requirements: At least a Bachelor's degree in a related field or equivalent experience
- Location-based hybrid policy: Currently, staff are expected to be in one of our offices at least 25% of the time (some roles may require more time in-office)
- Travel: Frequent travel to customer sites for workshops and technical engagements
Visa Sponsorship
- Anthropic states they do sponsor visas and retain an immigration lawyer to assist, though sponsorship is assessed per role/candidate
About Anthropic / How we're different
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. The company values collaboration, communication, and high-impact research directions. They emphasize building safe AI systems and host frequent research discussions to pursue high-impact work.
How to apply
Apply through Anthropic's careers site; the posting requests resume or LinkedIn and includes candidate guidance on AI usage during the application process.