Tech Stack
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.
AI @ 4
API
Claude Code
Communication @ 9
Data Science @ 3
LLM @ 7
Machine Learning @ 3
Mentoring @ 6
Python @ 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 a member of the Applied AI team, you will serve as a pre-sales architect and trusted technical advisor to systems integrators, startups, and GovTech companies. You will help customers understand the value of Claude and design successful approaches for integrating and deploying it into their technology stacks. You will combine deep technical expertise with customer-facing skills to architect innovative LLM solutions for complex mission challenges while maintaining high standards for safety and reliability.
You will work closely with Sales, Product, and Engineering teams to guide customers from technical discovery through evaluation and successful deployment. You will help customers understand Claude's capabilities, develop evaluations, and design scalable architectures that maximize the value of Anthropic's AI systems.
Responsibilities
- Partner with account executives to understand customer requirements and translate them into technical solutions aligned with business objectives and technical implementation.
- Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery and initial evaluation through deployment.
- Coordinate internally across multiple teams and stakeholders to drive customer success.
- Support customers building with Claude Code, the Claude API, and Claude for Enterprise.
- Create and deliver technical content for diverse audiences, including technical deep dives for engineering and development teams and business-value-focused conversations with executives.
- Guide technical architecture decisions and help customers integrate Claude into their existing technology stacks.
- Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases.
- Identify common integration patterns and contribute insights 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
- US Secret Clearance preferred for working with defense technology customers.
- Prior work in government, government contracting, or government technology preferred.
- At least 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 relationship-building and communication skills, including the ability to communicate technical concepts to C-suite executives, engineering and IT teams, and other stakeholders.
- Strong technical communication skills and the ability to translate customer requirements between technical and business stakeholders.
- Experience designing scalable cloud architectures and integrating with enterprise systems.
- Familiarity with Python.
- Familiarity with common LLM frameworks and tools, or a background in machine learning or data science.
- Ability to collaborate across organizations, work through trade-offs, and balance competing priorities.
- Interest in teaching, mentoring, and helping others succeed.
- Excellent communication and interpersonal skills, with the ability to explain complicated topics clearly to diverse external and internal stakeholders.
- Passion for using technology safely and beneficially to advance safe AI systems.
- Bachelor's degree or an equivalent combination of education, training, and/or experience. The required field of study must be relevant to the role as demonstrated through coursework, training, or professional experience.
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office spaces for collaboration. Staff are currently expected to work from an Anthropic office at least 25% of the time, although some roles may require more office time.
Anthropic sponsors visas for this role when possible and makes reasonable efforts to assist with visa applications using an immigration lawyer.