Applied AI Architect, Industries
Anthropic · Paris, Île-de-France, France
- On site
- Full-time
- €215,000 / year
- Paris, Île-de-France, France
Job highlights
- Design AI solutions for enterprise clients.
- Be a trusted technical advisor for Claude.
- Collaborate with Sales, Product, and Engineering.
- Develop LLM architectures and integration strategies.
- Guide customers from discovery to deployment.
About the role
About Anthropic
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. You will need to 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. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused 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 our 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
You May Be a Good Fit If You Have
- 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 with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
- 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 engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
- A love of teaching, mentoring, and helping others succeed
- Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
- Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Logistics
- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
- Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
- Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
- Visa sponsorship: We do sponsor visas! However, we aren't able to sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Key skills/competency
- Applied AI Architect
- Solutions Architect
- Sales Engineer
- Technical Account Manager
- LLM Solutions
- Enterprise Integration
- Cloud Architecture
- Technical Consulting
- Customer Relationship Management
- Python
Skills & topics
- AI Architect
- Applied AI
- Solutions Architect
- Sales Engineer
- Technical Account Manager
- LLM
- Large Language Models
- Enterprise Solutions
- Cloud Architecture
- Python
- Machine Learning
- Data Science
- Customer Facing
- Pre-Sales
- AI Safety
How to get hired
- Tailor your resume: Highlight your 5+ years in technical customer-facing roles, Python expertise, and LLM familiarity.
- Showcase client success: Emphasize experience navigating complex enterprise sales cycles and building stakeholder relationships.
- Demonstrate technical depth: Prepare to discuss scalable cloud architectures and LLM integration patterns.
- Prepare for collaboration: Be ready to share examples of cross-organizational teamwork and problem-solving.
- Highlight communication skills: Practice articulating complex technical concepts to both technical and business audiences.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the application deadline for the Applied AI Architect role at Anthropic?
- There is no specific application deadline for the Applied AI Architect position at Anthropic. Applications are reviewed on a rolling basis, so it's recommended to apply as soon as possible.
- What is the expected compensation for the Applied AI Architect role at Anthropic?
- The annual compensation range for the Applied AI Architect role at Anthropic is €190,000 - €215,000 EUR. This On Target Earnings (OTE) range includes base salary, commissions, and bonuses for sales roles.
- Does Anthropic offer visa sponsorship for the Applied AI Architect position?
- Yes, Anthropic does sponsor visas for eligible candidates. While they cannot guarantee sponsorship for every role or candidate, they make every reasonable effort to secure a visa if an offer is extended and retain an immigration lawyer to assist.
- What is the required educational background for an Applied AI Architect at Anthropic?
- A minimum of a Bachelor's degree or an equivalent combination of education, training, and/or experience is required. The field of study should be relevant to the role, demonstrated through coursework, training, or professional experience.
- Is French language proficiency required for the Applied AI Architect role at Anthropic?
- Yes, native French speaker proficiency is listed as a requirement for the Applied AI Architect role, in addition to fluent English.
- What is the work arrangement for the Applied AI Architect role at Anthropic?
- Anthropic has a location-based hybrid policy, requiring staff to be in the office at least 25% of the time. Some roles may necessitate more in-office presence.
- What are the core responsibilities of an Applied AI Architect at Anthropic?
- The core responsibilities include acting as a trusted technical advisor, architecting LLM solutions, guiding clients through adoption, creating technical content, and contributing insights to product and engineering teams.
- What technical skills are most important for the Applied AI Architect position?
- Key technical skills include a strong understanding of cloud architectures, experience integrating enterprise systems, Python proficiency, and familiarity with LLM frameworks or a background in machine learning/data science.