Applied AI Architect, Startups
- Salary
- $240,000 - $315,000
- Level
- Lead
- Visa
- Sponsors visas
Not stated in the posting: work type.
Open. First seen 20 September 2026.
About the role
Anthropic's standard text
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 Architect on the Startups team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude.
Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems.
Responsibilities:
Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion
Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases
Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions
Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams
Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building
You may be a good fit if you have:
3+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales
Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies
Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams
Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation
Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures
Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams
Track record of selling technical products in competitive markets
Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns
Passion for making powerful technology safe and societally beneficial
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:
$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
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.
Anthropic's standard text
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.
We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
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
Anthropic's standard text
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.
Come work with us!
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.
What this role asks for
62% of this description is written for the role. The rest is Anthropic's standard text, folded away below.
Read against Anthropic's other open postings on this site.
The team: Applied AI HIRES STEADILY
This role is one of 55 open in Applied AI. 27 were posted in the last 30 days and the oldest in December: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
LLM (52 of 55), Machine Learning (26 of 55), Python (25 of 55), Generative AI (7 of 55), Prompt Engineering (7 of 55), TypeScript (6 of 55), AWS (5 of 55)
OTHER ROLES ON THIS TEAM
- Applied AI Architect, Security Specialist posted Oct 16
- Manager, Applied AI Architects - Digital Natives, EMEA posted Oct 16
- Applied AI Engineer, Startups (Physical AI) posted Oct 15
- Applied AI Engineer, Startups (Life Sciences) posted Oct 15
- Staff Forward Deployed Engineer posted Oct 14
- Applied AI Engineer, Beneficial Deployments (Lab Automation) posted Oct 13
- Manager, Applied AI Architect posted Oct 13
- Applied AI Architect, Partnerships posted Oct 8
- Applied AI Architect posted Oct 8
- Manager of Applied AI Architecture, Startups posted Oct 7
- Applied AI Architect, Beneficial Deployments (Life Sciences Community & Enablement) posted Oct 7
- Manager, Applied AI Architecture, Enterprise Tech posted Oct 7
- Applied AI Engineer, Public Sector posted Oct 7
- Applied AI Engineer, Beneficial Deployments (Clinical Development, Rare and Neglected Diseases) posted Oct 6
- Manager, Applied AI Engineering (Megas) posted Oct 5
- Applied AI Architect, International Policy posted Sep 30
- Applied AI Architects, Partner posted Sep 30
- Field Executive Architect posted Sep 29
- Applied AI Architects, Partner posted Sep 29
- Applied AI Engineer, Beneficial Deployments (Life Sciences) posted Sep 29
- Applied AI Engineer, Enterprise posted Sep 28
- [London] Applied AI Architect, Partnerships posted Sep 28
- Applied AI Architect, Public Sector posted Sep 23
- Applied AI Engineer, Startups posted Sep 23
- Applied AI Architect, Startups posted Sep 23
- Manager, Applied AI Architect posted Sep 22
- Applied AI Architect posted Sep 21
- Applied AI Architect, Partnerships posted Sep 17
- Applied AI Architect, Partnerships posted Sep 15
- Forward Deployed Engineer posted Sep 14
- Applied AI, Research Engineer posted Sep 4
- Manager, Technical Deployment (Financial Services) posted Sep 4
- Applied AI Architect, Strategic Enterprise Tech posted Aug 27
- Applied AI Architect, Industries posted Aug 26
- Manager Applied AI Architecture, Financial Services posted Aug 21
- Manager Applied AI Architecture, Healthcare & Life Sciences posted Aug 21
- Manager of Applied AI Architecture, Commercial posted Aug 20
- Applied AI Architect posted Aug 20
- Applied AI Engineer, Enterprise posted Aug 19
- Applied AI Architect, Industries posted Aug 19
- Technical Deployment Lead posted Aug 19
- Applied AI Engineer posted Aug 19
- Forward Deployed Engineer posted Aug 17
- Applied AI Architect, Industries posted Aug 17
- Manager, Forward Deployed Engineering posted Aug 13
- Applied AI Architect, Enterprise Tech posted Aug 7
- Applied AI Architect, Partnerships posted Jul 7
- Applied AI Architect, Digital Natives Business posted May 21
- Applied AI Architect, Commercial posted Apr 17
- Manager, Forward Deployed Engineering posted Feb 5
- Applied AI Architect posted Jan 23
- Applied AI Engineer, Enterprise Tech posted Jan 8
- Technical Deployment Lead posted Dec 4
- Applied AI Architect, Industries posted Dec 20
From the team and dates on Anthropic's own job board.
Posting history
Reposted once since 7 March 2026: a posting for this role in San Francisco, CA | New York City, NY was taken down and the role was posted again.
- 20 September 2026 – open (this posting)
- 7 March 2026 – closed 18 June 2026
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