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Applied AI Architect : North America

Updated

Pay not postedRemote, hiring in Colorado

Applied AI Architect embedded with enterprise customers to move AI initiatives from demos and proof-of-value engagements into production.

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View posting at forgd.ai

At a glance

Posted base pay

Not posted

The work

Builds what the customer runs

Balance

  1. Mostly building
  2. Mixed
  3. Mostly pre-sales or support

Project stages

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

Travel Up to 20%

Coding
Writes production code
Builds for
External customers
Level
Senior
Role
Technical lead

What they ask for

Experience

  • 3+ yearscustomer-facing technical role or hands-on software/product engineering role
  • 5+ yearscustomer-facing technical role or hands-on software/product engineering role

Background

  • Software engineering
  • Solutions and customer engineering

Tools

  • Claude Code
  • Claude for Work
  • Cowork
  • MCP servers
  • LLMs
  • evaluation frameworks
  • CI/CD
  • AWS
  • GCP
  • Azure

Visa

  • No visa sponsorship

Less common in FDE jobs

  • Covers pre-sales25%
  • Fully remote28%
  • Covers proofs of concept40%
  • Individual contributor or manager: Technical lead47%

Share of US FDE postings that state each fact.

The job description from forgd.ai

Posted by forgd.ai on

Remote (North America)

10–20% Travel

About forgd

forgd is the consultancy partnering exclusively with Anthropic to help enterprises build

AI-native businesses. We start with engineering — helping organizations move from

individual developers using Claude Code to entire teams shipping together with AI-native

workflows — and expand into agentic solution delivery and broader business

transformation.

Our conviction is that engineers are uniquely positioned to lead this transformation. The

strongest mental model for designing, deploying, and governing AI agents in production

lives in software engineering. The teams that change how their organization builds

software are the same teams equipped to shepherd the rest of the business into this new

world.

We embed and co-build with customer teams. Cycles are short, delivery is iterative and

accountable to clear outcome goals.

About the Role

As an Applied AI Architect, you embed with enterprise customers and own the technical

work across the full customer journey — initial demos, short proof-of-value engagements,

and multi-week implementations. The work moves customers from interesting prototypes

to production capability.

Most engagements start in engineering. You'll work with customer engineering teams

adopting Claude Code and redesigning their SDLC — code review, requirements, testing,

documentation, and governance. From there, the work expands: co-building agentic

applications and modernizing legacy systems on the Claude developer platform, and

partnering with business stakeholders to deploy agents into core operations like sales,

customer service, and finance.

You're the expert in the room on how engineers work with Claude Code, what an agentic

application looks like in production, and what has to change in an organization to sustain

either. You build prototypes, ship code, run workshops, write specs, and make the calls

that move customers from demos to deployment.

Collaborate directly with Anthropic on customer engagements — joint working sessions,

early access to product changes, and a direct line to their product and engineering teams.

Responsibilities:

Enable

  • Lead Claude Code Labs and customer workshops
  • Take customer teams from beginner to power user across Claude Code, Claude for
  • Work, Cowork, and the developer platform
  • Codify deployment patterns and feed them back to forgd's methodology and
  • Anthropic's product teams

Transform

Lead discovery into customer environments — engineering toolchains and

workflows, business operations, and organizational dynamics — and turn that into

clear technical plans

Advise on how AI-native development changes existing engineering practices:

issue management, branching, testing, code review, and security

Guide adoption programs that scale Claude across engineering organizations and

into business teams

Build

  • Scope engagements: assumptions, risks, milestones, and dependencies
  • Embed with customer teams to co-build agentic applications on the Claude
  • developer platform
  • Build technical artifacts — evaluation frameworks, MCP servers, sub-agents, and
  • deployment configurations — tailored to the customer's stack

What Success Looks Like

  • Customers move from proof-of-value to production
  • Engineering teams measurably change how they ship software
  • Customers become references
  • Accounts expand on the strength of the work

You May Be a Good Fit If You Have

  • 3–5 years in a customer-facing technical role — Solutions Architect, Sales
  • Engineer, Forward Deployed Engineer, Technical Consultant — or in a hands-on
  • engineering role as a Software Engineer or Product Engineer
  • Software development experience in a high-scale startup or enterprise
  • environment; you know what it takes to write, ship, and operate production code
  • Production experience with LLMs — prompt engineering, agent design, and
  • evaluation frameworks.
  • Power user of Claude Code or equivalent AI coding assistants; you live in AI-native
  • development yourself
  • Familiarity with enterprise development toolchains, CI/CD, and modern SDLC
  • practices, and cloud-native deployment on AWS, GCP, or Azure
  • Communication skills that work across the room — individual contributors,
  • engineering leadership, and business stakeholders
  • High agency and comfort with ambiguity; you operate autonomously in customer environments

Nice to Have

  • Background in professional services or consulting
  • Track record leading developer productivity or developer experience at scale
  • Vertical experience in financial services, healthcare, or other regulated industries
  • Experience driving organizational change

What We Offer

Work at the frontier: Direct partnership with Anthropic — joint engagements, early

access to product changes, and working sessions with their Applied AI team

Founding team: You shape how we work and grow as we scale

Remote: Fully remote across North American and European time zones

Compensation and benefits: Competitive salary, equity, and full benefits

How to Apply

We encourage you to apply even if you don't meet every qualification. Research shows

people from underrepresented groups often hesitate unless they meet every requirement,

and we don't want you to exclude yourself prematurely. If you're excited about AI-native

engineering and want to help enterprises change how they build software, we'd love to

hear from you.

Equal Opportunity Employer

forgd is an equal opportunity employer. All qualified applicants will receive consideration

for employment without regard to race, color, religion, sex, sexual orientation, gender

identity or expression, national origin, age, disability, veteran status, or any other

characteristic protected by applicable law. We make hiring decisions on merit, and we

provide reasonable accommodations for candidates who need them during the hiring

process.

Please note that we are unable to provide visa sponsorship for this role. All applicants must have the right to work in the United States without employer sponsorship, now or in the future.

View posting at forgd.ai

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Pay and conditions

Posted pay
Pay not posted
Location
Denver, CO · US remote
Work arrangement
Remote
Remote work restrictions
North American and European time zones; applicants must have the right to work in the United States
Employment type
Full-time
Visa sponsorship
Not available
Travel
Up to 20%
Experience requirements
  • 3+ years: customer-facing technical role or hands-on software/product engineering role (required)
  • 5+ years: customer-facing technical role or hands-on software/product engineering role (required)