Applied AI Architect, Commercial

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 customers 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 technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. As a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business. 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 customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success · Support customers building with the Claude API, Claude Code, and Claude for Enterprise · Ship working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend · Build reusable blueprints, demos, and enablement assets that scale across customers · 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: · 3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience · A builder identity. You've shipped real software, you have technical taste, and you care about the craft of what you build · A systems mindset. When you see a problem, your instinct is to ask "how do I make this reusable." You'd rather build one thing that serves ten customers than ten things that serve one each · Strong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected · Strong ability to build trust with technical stakeholders and adjust your communication for varied audiences · 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 · Familiarity with common LLM frameworks and tools, or a background in machine learning or data science · Comfort operating in early-stage, ambiguous environments where the playbook doesn't exist yet, and a track record of building structure as you go · Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities · A love of teaching, mentoring, and helping others succeed · 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 For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000—$315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.