Embedded Front Office Engineer — Remote UK

Bluprintx

Greater London

Remote

GBP 70,000 - 110,000

Full time

8 days ago

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Job summary

Bluprintx is seeking a Forward Deployed Engineer to join our delivery team. You will be embedded with client teams, working inside their systems and data to deploy BPX capabilities across marketing, content, CRM and data, with AI-driven workflows behind them.

You’ll work in short iterations: ship a first release fast, learn from real usage, and improve each cycle while balancing judgment with technical delivery.

Qualifications

  • Technical fluency across the front office stack.
  • Hands-on AI and agentic workflow experience in live client work.
  • Rapid deployment instincts, shipping a first version fast and improving it in the open.
  • Client-facing confidence, working directly with operators and executives.
  • Commercial judgment to know what is worth deploying and to say no to work that will not pay back.
  • Comfort with ambiguity, moving from problem to live deployment without a fixed spec to follow.

Responsibilities

  • Embed with critical clients, owning work they rely on daily.
  • Deploy BPX capabilities across marketing, content, CRM and data in client platforms.
  • Work in quick iterations, shipping first release fast and iterating from real usage.
  • Make it hold at volume with evaluation, guardrails, monitoring and cost control from the start.
  • Pull in the right specialists, spotting what the client needs next and bringing the wider BPX team in to deliver it.
  • Turn wins into accelerators by feeding patterns back into BPX-OS for other engagements.

Skills

Front office tech stack
AI/workflow experience
Rapid deployment
Client-facing
Commercial judgment
Ambiguity tolerance

Job description

Bluprintx is seeking a Forward Deployed Engineer to join our delivery team. You will be embedded with client teams, working inside their systems and data to deploy BPX capabilities across marketing, content, CRM and data, with AI-driven workflows behind them.

You’ll work in short iterations: ship a first release fast, learn from real usage, and improve each cycle while balancing judgment with technical delivery.

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