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. 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 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 compelling technical content tailored to different audiences, spanning from technical deep dives for engineering and 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 Qualifications 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 and 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 Passion for thinking creatively about how to use technology in a way that is safe and beneficial, advancing safe AI systems Annual Salary

$240,000—$315,000 USD

Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Field of study: Relevant coursework, training, or professional experience in a relevant field Minimum years of experience: Correlates with the internal job level requirements for the position Location‑based hybrid policy: Staff are expected 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 for many candidates, but we may not be able to sponsor for every role and every candidate We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every listed requirement. #J-18808-Ljbffr Anthropic