Remote (UK)

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,