Applied AI Architect, Strategic Enterprise Tech

Fdetimes; New York (NY); Hybrid; USD 240,000 - 380,000; Full time

Job summary

Anthropic is seeking an Applied AI Pre-Sales Architect to become a trusted technical advisor for large enterprises, guiding the value and deployment of Claude within complex tech stacks. You will co-own strategic accounts, build executive champions, and drive multi-quarter adoption roadmaps.

You will collaborate with Sales, Product, and Engineering to translate customer needs into scalable cloud architectures, design evals, and win-win technical outcomes while maintaining safety standards.

Qualifications

• 8+ years in roles such as Field CTO, Solutions Architect, Sales Engineer, or Product Manager, with hands-on building experience.
• Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
• Experience owning named or strategic enterprise accounts through long, multi-stakeholder buying cycles
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders including C-suite
• Strong technical communication skills translating requirements between technical and business audiences
• Experience designing scalable cloud architectures and integrating with enterprise systems
• Comfortable with Python
• Familiarity with common LLM frameworks and tools or ML/data science background
• Excitement for cross-organizational collaboration and balancing priorities
• Love of teaching and mentorship
• Excellent communication and interpersonal skills for diverse audiences
• Passion for safe, beneficial AI and advancing steerable AI

Responsibilities

• Partner with account executives to understand customer requirements and translate them into technical solutions.
• Serve as the primary technical advisor to enterprise customers through evaluation and deployment.
• Build executive technical champions and drive multi-quarter adoption roadmaps.
• Work on Claude API and Claude for Enterprise integrations with customer environments.
• Create and deliver technical content tailored to different audiences.
• Reproduce customer environments in your own builds to prove production paths.
• Collaborate with Anthropic engineering to feed customer needs into the product roadmap.
• Guide architecture decisions and help integrate Claude into existing stacks.
• Help customers develop evaluation frameworks to measure Claude performance.
• Identify common integration patterns and share insights with Product/Engineering teams.
• Travel occasionally for workshops and deep dives.

Skills

Enterprise account ownership

Technical storytelling

Cloud architecture design

Python familiarity

LLM frameworks knowledge

Stakeholder communication

Cross-functional collaboration

Safety-focused AI

Education

Bachelor's degree

Tools

Claude API

Cloud platforms

ML frameworks

Job description

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.

You will focus on a short list of strategic accounts within our Enterprise Technology business. For each one you will co-own the account plan with the account executive, build executive technical champions, and drive a multi-quarter adoption roadmap. You will have breadth and depth, reproducing customer environments and problems, building working solutions with them, and develop deep relationships with our engineering and product teams, all in service of each account's strategic roadmap

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 need to coordinate internally across multiple teams & stakeholders to drive customer success
• Work with your customers on their overall AI adoption strategies, including use case scoping, architecture reviews, technical champion building, adoption workshops, and use case execution
• Support customers building with both the Claude API and Claude for Enterprise
• Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
• Reproduce customer environments and problems in your own builds. Use them to prove the path to production
• Build deep relationships with Anthropic engineering and product teams. Carry customer needs into the product roadmap and bring product direction back to your accounts
• 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

• 8+ years of experience in roles such as Field CTO, Solutions Architect, Sales Engineer, or Product Manager, with hands-on building experience
• Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
• Experience owning named or strategic enterprise accounts through long, multi-stakeholder buying cycles
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include 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. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• 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

The annual compensation range for this role is listed below.

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

$240000-$380000 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

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

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

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.

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.