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.
  

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.