Anthropic
Applied AI Architect, Industries
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Applied AI Architect, Industries
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.
Applied AI Pre-Sales Architect
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 painting the vision on how they can successfully integrate and deploy it into their technology stack.
You’ll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions addressing 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 evaluations, and design scalable architectures that maximize the value of our AI systems.
Responsibilities
- Partner with account executives to deeply understand customer requirements, translating 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 to drive success
- Support customers building with:
- The Claude API
- Claude for Work
- Create and deliver compelling technical content tailored to diverse audiences:
- Technical deep-dive for engineering and development teams
- 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 specific use cases
- Identify common integration patterns and contribute insights to our Product and Engineering teams
- Occasionally travel to customer sites for workshops, technical deep dives, and relationship building
- Maintain strong AI knowledge of the latest LLM capabilities and implementation patterns
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Requirements
You may be a good fit if you have:
- 5+ years of experience in technical customer-facing roles, such as:
- Solutions Architect
- Sales Engineer
- Technical Account Manager
- Experience working with enterprise customers navigating complex buying cycles involving multiple stakeholders
- Exceptional ability to build customer relationships and communicate technical concepts to diverse stakeholders, including:
- C-suite executives
- Engineering & IT teams
- Others
- Strong technical communication skills to translate customer requirements across business and technical stakeholders
- Experience in designing scalable cloud architectures and integrating with enterprise systems
- Comfortable with Python
- Familiarity with:
- Common LLM frameworks and tools
- Machine learning or data science background
- Excitement for:
- Cross-organizational collaboration
- Working through trade-offs
- Balancing competing priorities
- Love for teaching, mentoring, and fostering success
- Excellent interpersonal skills to simplify complex topics for all stakeholders
- Passion for creatively leveraging technology to create safe and beneficial AI systems
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Compensation & Logistics
Minimum Education: Bachelor’s degree or equivalent combination of education, training, and experience.
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Required Field of Study: A relevant field—proven through:
- Coursework
- Training
- Professional experience
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Years of Experience: Varied based on internal role level.
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Hybrid Policy: All staff expected to be in-office at least 25% of time (some roles require more presence).
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Visa Sponsorship: Sponsored, but approval depends on eligibility. Offers will attempt every reasonable effort to assist candidates with visas.
Extra Notes
Anthropic encourages applying even if you question whether you meet every single requirement. Underrepresented candidates often second-guess their qualifications.
You’re welcome to apply if interested in this work.
Your safety matters: Robot recruiter contact email domain is anthropic.com. Beware of outside email domains; never share money-related information pre-hire. Visit Anthropic's careers page for confidence.
Why Work Here?
Anthropic is a public benefit corporation based in San Francisco that emphasizes:
- Competitive compensation and benefits:
- Generous vacation & parental leave
- Flexible working hours
- Optimal equity matching
- Outstanding office space for team collaboration
Research Focus
Anthropic’s research involves grappling with high-Impact AI dilemmas. Currently, directions include:
- Inquiry from historic AI research
- GPT-3
- Circuit-Based Interpretability
- Multimodal Neurons
- Scaling Laws
- AI & Compute
- Concrete Problems in AI Safety
- Learning from Human Preferences
Further clarify our research through our publications!
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