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 @ 3
Machine Learning @ 2
Data Science @ 2
Communication @ 6
Mentoring @ 3
API @ 3
LLM @ 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
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises 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 business challenges while maintaining our high standards for safety and reliability.
Working closely with our 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 both the Claude API and Claude for Work
- Create and deliver compelling technical content tailored to different audiences, from technical deep dives for engineering teams 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 occasionally 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
- 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
- Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
- Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders including C-suite executives and 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
- Comfortable 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: £150,000 - £190,000 GBP
For sales roles the posted range represents OTE; this role is a pre-sales/solutions architect role and the annual range above is provided.
Logistics
- Location: London, UK
- Location-based hybrid policy: Currently, staff are expected to be in one of our offices at least 25% of the time
- Education requirements: At least a Bachelor's degree in a related field or equivalent experience
- Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to assist, though not all roles/candidates can be successfully sponsored
- Deadline to apply: None (applications reviewed on a rolling basis)
How we're different
We work as a single cohesive team on a few large-scale research efforts and value impact on steerable, trustworthy AI. Collaboration and communication are emphasized across research and engineering efforts.