Applied AI Architect, Industries

Details

As a member of Anthropic’s Applied AI team, this pre-sales architect role focuses on becoming a trusted technical advisor to large enterprises. The role involves helping customers understand the value of Claude and designing how to integrate and deploy Claude into their technology stacks. You will combine deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining high standards for safety and reliability.

Working closely with Sales, Product, and Engineering teams, you will guide customers from initial technical discovery through successful deployment. You will help customers understand Claude’s capabilities, develop evaluations, and design scalable architectures that maximize the value of Anthropic’s AI systems.

Responsibilities

• Partner with account executives to understand customer requirements and translate them into technical solutions aligned with business objectives and technical implementation.
• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery and initial evaluation through deployment.
• Coordinate internally across multiple teams and stakeholders to drive customer success.
• Support customers building with both the Claude API and Claude for Work.
• Create and deliver technical content for diverse audiences, from technical deep dives for engineering and development teams to business-value-focused discussions with executives.
• Guide technical architecture decisions and help customers integrate Claude into their existing technology stacks.
• Help customers develop evaluation frameworks to measure Claude’s performance for specific use cases.
• Identify common integration patterns and contribute insights 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 and navigating complex buying cycles involving multiple stakeholders.
• Exceptional relationship-building and communication skills with C-suite executives, engineering and IT teams, and other stakeholders.
• Ability to translate customer requirements between technical and business stakeholders.
• Experience designing scalable cloud architectures and integrating with enterprise systems.
• Comfort working with Python.
• Familiarity with common LLM frameworks and tools, or a background in machine learning or data science.
• Ability to collaborate across organizations, work through trade-offs, and balance competing priorities.
• Interest in teaching, mentoring, and helping others succeed.
• Excellent communication and interpersonal skills, with the ability to explain complicated topics clearly to diverse external and internal stakeholders.
• Passion for using technology safely and beneficially to advance safe AI systems.
• Bachelor’s degree or an equivalent combination of education, training, and experience.
• A field of study relevant to the role, demonstrated through coursework, training, or professional experience.

Compensation

• Annual salary: $240,000–$315,000 USD.
• For sales roles, the stated range is on-target earnings and includes the target sales commissions or bonuses and annual base salary.

Benefits And Logistics

• Location-based hybrid policy: staff are expected to work from one of Anthropic’s offices at least 25% of the time, although some roles may require more office time.
• Anthropic sponsors visas and makes reasonable efforts to obtain visas for offered candidates, with support from an immigration lawyer.
• Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration spaces.