> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Applied AI Architect, Commercial

Canonical URL: https://nextmove.md/fde/jobs/3c3610a4cc4fc4d6

Anthropic posts a FDE role to prove the product works before the sale in San Francisco, CA and 1 more, at $240,000–$315,000 base, above the senior FDE median of $190,000 across 1,864 postings with pay. This pre-sales Applied AI architect partners with commercial customers from technical discovery through deployment, serving as their hands-on technical advisor for adopting Claude. Read from the employer’s posting on November 8, 2026.

- [Anthropic](https://nextmove.md/fde/companies/anthropic)

Posted Apr 17, 2026 by Anthropic · open on Greenhouse as of Nov 8, 2026

**$240,000–$315,000** San Francisco, CA +1 Hybrid

This pre-sales Applied AI architect partners with commercial customers from technical discovery through deployment, serving as their hands-on technical advisor for adopting Claude.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F3c3610a4cc4fc4d6&placement=top)
- [View posting at Anthropic](https://job-boards.greenhouse.io/anthropic/jobs/5192805008)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$240K–$315K Above the median

Midpoint $278K · median $190K

This job $240K to $315K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

[Compare pay across all Anthropic postings](https://nextmove.md/fde/salary/anthropic)

### The work

Proves it works before the sale

Balance **Mixed**

Project stages

1. Pre-sales
2. Proof of concept
3. Implementation
4. Operations (not covered)

Travel **Required, amount not stated**

- **Coding**: Prototypes and scripts

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Individual contributor

### What they ask for

Experience

- **3+ years** Highly technical software engineering or equivalent, with some customer-facing exposure
- **3+ years** Solutions Architect, Sales Engineer, or Technical Account Manager experience with hands-on building

Background

- **Software engineering**
- **Solutions and customer engineering**

Visa

- **Sponsors visas**

### Do you meet what the posting states?

The posting asks for 3+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in San Francisco, CA · New York, NY. Could you work in one of these?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: San Francisco, CA · New York, NY

- **Work arrangement**: Hybrid

- **Remote work restrictions**: Expected to be in one of the offices at least 25% of the time.

- **Visa sponsorship**: Available

- **Travel**: Travel required, amount not stated

- **Pay**:

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## The job description from Anthropic

Posted by Anthropic on Apr 17, 2026

### 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 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

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.

**For roles performing work in California: **We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

**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.

[View posting at Anthropic](https://job-boards.greenhouse.io/anthropic/jobs/5192805008)

## About Anthropic

AI safety and research company building reliable, interpretable, steerable AI systems and deploying Claude through products and partnerships.

Late-stage private · 2000–5000 people

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