Senior Forward Deployed Engineer

What
You Will Do

• Design, build and harden agentic AI applications
  that read from and write to enterprise systems of record, grounded on
  Microsoft Fabric and Azure AI services.
• Embed with a Corporate Function team as the technical
  lead of a small, multi-functional pod — moving from problem, to prototype,
  to production at pace.
• Run a tight, iterative build cycle: align on the
  outcome, prototype, gather feedback, refine and finalise, typically within
  one to two weeks per loop.
• Own the quality of what you ship end to end — security,
  reliability, scalability, observability, and safe, governed write-back to
  source systems.
• Make the right build call for the problem: low-code and
  agent-builder platforms where they fit, custom code where they do not.
• Ensure the data behind each solution is AI-ready —
  modelled, governed and documented in Fabric, with lineage and access
  control that will stand up to audit.
• Set and document the reusable technical patterns,
  components and guardrails the team applies across every engagement.
• Become credible in a new business domain quickly, and
  challenge requirements constructively to land on the right solution rather
  than the requested one.

Requirements

Required
Qualifications

• Proven experience building agentic or multi-agent AI
  systems that run in production and serve real users — working systems, not
  demonstrations.
• Strong command of state management, concurrency,
  idempotency and authorisation for systems that act on a system of record
  on behalf of many users.
• Substantial software development experience in at least
  one language such as Python, TypeScript/JavaScript, C# or Java —
  you can architect, write, review and debug production code.
• Hands-on integration experience with enterprise APIs
  and data platforms, including designing safe read and write paths and
  handling failure gracefully.
• Working knowledge of modern AI application patterns —
  retrieval-augmented generation, prompt and context design, agent
  orchestration, tool use and protocols such as MCP.
• Strong, hands-on command of a major cloud platform,
  ideally Azure — able to independently provision, configure, deploy, secure
  and operate cloud resources, owning an application end to end rather than
  only consuming pre-built services.
• Demonstrated ability to prototype rapidly, using
  AI-assisted development and fast iteration to turn a loosely defined idea
  into something usable in days.
• The judgement and autonomy of a senior individual
  contributor — able to make sound architecture and feasibility calls alone,
  under time pressure, and explain them to non-technical stakeholders.