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.