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
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.
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 (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 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
Profil / Requirements
- 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
- Native French speaker with fluent English proficiency
- Experience working with enterprise customers, 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; 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
- Experience or comfort supporting customers using APIs (Claude API / Claude for Work) and developing evals for model performance
- Enthusiasm for cross-organizational collaboration, working through trade-offs, and balancing competing priorities
- A love of teaching, mentoring, and helping others succeed
- Passion for using technology in ways that are safe and beneficial, advancing safe AI systems
Compensation
- Annual Salary: €190,000 - €215,000 EUR
Logistics
- Location: Paris, France
- Education requirements: At least a Bachelor's degree in a related field or equivalent experience
- Location-based hybrid policy: currently expect all staff to be in one of our offices at least 25% of the time (some roles may require more time)
- Visa sponsorship: Anthropic states they do sponsor visas and will make reasonable efforts to obtain a visa for offered candidates (they retain an immigration lawyer), though they note they cannot successfully sponsor visas for every role/candidate
- Deadline to apply: None (applications reviewed on a rolling basis)
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space for collaboration
How we're different
Anthropic emphasizes large-scale, collaborative AI research focused on steerable, trustworthy AI. The company values communication and cross-team collaboration and references its research directions and prior work (e.g., GPT-3, interpretability, scaling laws, AI safety).