Solutions Architect, Applied AI

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 painting 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 Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You will help customers understand Claude’s capabilities, develop evaluators, and design scalable architectures that maximize the value of our AI systems.

Responsibilities

• Partner with account executives to understand customer requirements and translate them into technical solutions aligned with business objectives.
• Serve as the primary technical advisor throughout the Claude adoption journey, coordinating internally across multiple teams.
• Support customers building with the Claude API and Claude for Work.
• Create and deliver compelling technical content tailored to different audiences, ranging from deep technical dives for engineering teams to business value conversations with executives.
• Guide technical architecture decisions and help customers integrate Claude 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 provide 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.

Who you may be a good fit

• 5+ years of experience in technical customer‑facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager.
• Experience with enterprise customers and navigating complex buying cycles involving multiple stakeholders.
• Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders, including C‑suite, engineering, and IT teams.
• Strong technical communication skills, translating 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 passion for teaching, mentoring, and helping others succeed.
• Excellent communication and interpersonal skills, conveying complicated topics in an understandable manner.
• A passion for thinking creatively about how to use technology safely and beneficially.

Compensation

The annual compensation range for this role is $240,000 - $315,000 USD. For sales roles, the range provided is the role’s On Target Earnings (OTE) range, meaning it includes both the sales commissions/bonuses target and annual base salary.

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training and/or experience.

Required field of study: Relevant to the role, demonstrated through coursework, training or professional experience.

Minimum years of experience: Aligns with internal job level requirements.

Location‑based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Some roles may require more office time.

Visa sponsorship: We sponsor visas where possible, making every reasonable effort to obtain a visa if an offer is made.

Equal Employment Opportunity

As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.