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 @ 2
Communication @ 6
LLM @ 3
Python @ 2
Technical Proficiency @ 2
- 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
Anthropic is seeking an Applied AI Architect to support startups building on the Claude Developer Platform. The role combines deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, succeed in technical evaluations, and maximize the value of Claude as they grow from early product to scale.
Responsibilities
- Partner with Account Executives to understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey, from initial evaluation through deployment and expansion.
- Win technical evaluations demonstrating why Claude is the best foundation for startups' products, and help customers develop evaluation frameworks for their specific use cases.
- Build technical credibility with founders, founding engineers, and startup engineering teams by understanding their build patterns and guiding technical architecture decisions.
- Gather insights into how startups are building with Claude, identify emerging use cases and deployment patterns, and provide feedback to Product and Engineering teams.
- Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building.
Requirements
- At least 3 years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder with founder-led sales experience.
- Experience working with startups or high-growth technology companies, including an understanding of the velocity and constraints of early-stage companies.
- Strong builder credibility through experience as a software engineer or technical founder, with the ability to earn the trust of technical founders and startup engineering teams.
- Deep technical proficiency building and scaling AI products, familiarity with AI engineering best practices, and the ability to demonstrate the value of Claude as a foundation.
- Hands-on experience building and deploying LLM-powered applications in production, including expertise in context engineering, evaluation frameworks, and modern AI architectures.
- Strong technical communication skills and the ability to translate complex AI concepts into actionable insights for founders and engineering teams.
- Track record of selling technical products in competitive markets.
- Comfortable with Python and familiar with common LLM frameworks, tools, and integration patterns.
- Passion for making powerful technology safe and societally beneficial.
- Bachelor's degree or an equivalent combination of education, training, and/or experience. The field of study should be relevant to the role as demonstrated through coursework, training, or professional experience.
Compensation
- Annual salary: $240,000–$315,000 USD.
- For sales roles, the stated range is the on-target earnings range, including target sales commissions or bonuses and annual base salary.
Logistics
- Anthropic currently expects staff to work from one of its offices at least 25% of the time; some roles may require more office time.
- Anthropic sponsors visas, although sponsorship is not available for every role and candidate. The company states that it will make every reasonable effort to obtain a visa for successful candidates and retains an immigration lawyer to assist with this.
- Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office environment for collaboration.
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