Senior Forward Deployed Engineer

Job Location: London, UK

Experience: Mid-Senior Level

Work Type: Hybrid / Open for full-time & Contract

About Company: At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.

Role Overview: Client is building a small, senior team of Forward Deployed Engineers to design and ship agentic AI applications across our Corporate Functions - Finance, HR, Legal, Procurement, Marketing and Sales operations. You will be embedded directly with the people who own the process, taking a real business problem from idea to a working, production-grade solution in weeks rather than quarters. This is hands-on engineering.

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 finalize, 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 authorization for systems that act on a system of record on behalf of many users.
• 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.

Preferred Qualifications:

• Direct experience with Microsoft Fabric - Lakehouse, Warehouse, Data Factory, Real-Time Intelligence, Power BI and OneLake - or a comparable enterprise data platform.
• Experience with Microsoft Copilot Studio, Power Platform, Azure AI Foundry, or agent-builder platforms such as Lyzr or Moveworks.
• Integration experience with major Corporate Function systems of record - for example Oracle HCM, SAP, Workday, Salesforce, Dynamics 365 or ServiceNow.
• Familiarity with enterprise governance concerns: identity and access management, data classification and residency, responsible AI policy, and evaluation of model output.
• A background that blends software engineering with consulting, business transformation or a Corporate Function discipline.
• Experience delivering in short, iterative cycles directly with non-technical business stakeholders.

How We Will Assess You:

• A practical build exercise: take an ambiguous business problem to a working agentic prototype and explain your design trade-offs.
• A systems design discussion covering state, concurrency, authorization and safe write-back to a system of record.
• A stakeholder conversation testing how you scope, challenge and communicate with a non-technical business owner.