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Technical Architect

Join Anthropic as a Technical Architect to teach and empower engineering teams using Claude Code and related tools.

Location
San Francisco, CA, United States
Compensation
$250k–$365k/yr
Level
senior
Type
full time · Hybrid

Posted by employer 19 hours ago

First seen on Joblaze 1 hour ago

Last verified on the company career page 1 hour ago

What you'll build

  • Lead public webinars for engineers
  • Run train-the-trainer programs
  • Educate enterprise admins on rollout requirements
  • Create polished demos and materials
  • Provide feedback to product teams

Must have

  • 5+ years as a software engineer or similar
  • Experience teaching engineering audiences
  • Current engineering range with shipped code
  • Big-stage presence
  • Ability to handle ambiguity

Nice to have

  • Depth in enterprise identity and security review
  • Experience with regulated industries
  • Public record of technical teaching
  • Interest outside technology

Practical constraints

  • Expect 30 to 50% travel

Role intensity

30% coding — mostly leadership/strategy

AI in the day-to-day

You'll use Claude Code and similar tools daily to teach and support engineering teams.

Requirements

Experience
5+ years
Education
Bachelor's degree
Visa
Sponsorship available

Benefits

Unlimited PTO Equity/Stock Options Remote Work Health Insurance Parental Leave

Joblaze summary

In the role of Technical Architect at Anthropic, the individual will engage directly with customers to implement and teach the use of Claude Code and related tools, ensuring successful software rollouts. This position requires a strong background in software engineering and experience with teaching technical concepts to diverse audiences, as well as familiarity with enterprise-level security protocols. Ideal candidates are seasoned professionals who thrive in dynamic environments and possess a commitment to responsible AI deployment. The team is rapidly expanding, offering opportunities to influence the development of new products.

Joblaze insights

Quick facts

Is the Technical Architect role remote?
It's hybrid — Anthropic expects some on-site time in San Francisco, CA, United States.
What's the salary range?
Anthropic lists $250,000–$365,000 for this role.
How much experience is required?
At least 5 years of relevant experience for this Technical Architect role.
Where is the role based?
Anthropic is hiring for this position in San Francisco, CA, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: Amazon Bedrock, Claude Code, Google Cloud Vertex AI, Slack.
Does Anthropic sponsor work visas for this role?
Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?
Anthropic targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Technical Architect role at Anthropic.

From the original posting

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

Claude Code is changing how engineering organizations build software, and most of them need someone to show them how. That's you.

Technical Architects help customers get real work done with Claude Code, Claude Tag (Claude Code as an agent in Slack), and the enterprise admin controls that decide whether a rollout succeeds. You'll teach customers, partners and Anthropic's own field teams. Just as important, you'll train the trainers who carry that knowledge to everyone else.

We're hands-on AI engineers who would rather teach than sell. You'll work alongside customer engineering organizations, teaching them about Claude Code and shepherding rollouts with advanced admin knowledge. Most weeks you're in front of an audience with Claude Desktop or a terminal open: thousands of engineers on a public webinar one day, a customer's platform team in their own conference room the next week, office hours in between. The prep material often reaches you the day before.

The team is growing quickly this year, scope will grow as new products ship, and the people who join now will shape how it works.

Responsibilities

  • Teach in every format. Take a standing rotation on Anthropic's public webinars in front of thousands of engineers at a time. Lead workshops and multi-day onsites, in person and virtual, built around a customer's own codebase and questions. Host office hours and multi-week cohorts where engineers, partners, and account teams bring live problems.

  • Teach the teachers. Run train-the-trainer programs for customer technologists and champions, and certify them to deliver Anthropic's material.

  • Empower admins. Educate enterprise admins on the technical requirements for a strong rollout by guiding them through single sign-on, permissions, connectors, spend controls, data-handling policy, and other advanced topics.

  • Build fast with Claude. Turn a request into a polished deck, demo repository or plugin within a day, using the tools you teach. Explore new features the day they ship. Pick up a teammate's material and deliver it as if you wrote it.

  • Bring field signal back to product. Tell the Claude Code, Claude Tag and Cowork teams what customers run into, specifically enough that they can fix it.

  • Be the technical voice in the room. Partner with account executives, customer success managers, Applied AI Architects, support engineers and partner leads.

  • Travel. Expect 30 to 50%, in bursts around onsites, workshops and events.

You may be a good fit if you have

  • 5+ years as a software engineer, solutions architect, developer advocate or similar. You still ship code and regularly teach engineering audiences.

  • Current engineering range. You've shipped code other people depend on. You can go deep with a senior engineer anywhere in the stack. You use Claude Code or a similar agentic tool every day and have opinions about it.

  • Big-stage presence. You've held large live audiences. You sound practiced with material you got that morning, and a broken demo doesn’t faze you.

  • Range in one conversation. You can go from banter to a rigorous design discussion, and both feel natural.

  • Care for people. You do right by a struggling customer, and you won't leave a confused room behind.

  • Initiative. You build things without waiting for permission, and you say when an idea is half-formed, including your manager's.

  • Steadiness when priorities shift, timelines are short and colleagues are under pressure.

  • Comfort with ambiguity in a fast-moving industry and product suite.

  • A stake in safe AI. You care that large organizations deploy AI responsibly, and you want to help them do it.

  • You love being on the frontier. You want to work at the edge of what’s possible and help define what comes next.

Strong candidates may also have

  • Depth in enterprise identity and security review (SAML, OIDC, SCIM, SOC 2, HIPAA).

  • Experience running Claude on Amazon Bedrock or Google Cloud Vertex AI.

  • Time with regulated industries or with systems-integrator partners.

  • A public record of technical teaching: talks, courses, videos or writing.

  • An interest outside technology you can talk about with the same energy.

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:
$250,000$365,000 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.

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

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.

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