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.