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 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, coordinating 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, 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.

• 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 including 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.

• 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.

Final date to receive applications:
None. Applications will be reviewed on a rolling basis.

Annual Salary

$240,000—$270,000 USD

Logistics

Education requirements:

We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However,…