Senior Forward Deployed Engineer

Synechron; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Synechron in London seeks a Senior Forward Deployed Engineer to design and ship agentic AI applications within Corporate Functions. You will embed with a small pod, own end-to-end builds on Microsoft Fabric and Azure AI services, and push production-ready solutions with rapid iteration.

You will work hands-on to balance low-code options with custom code, ensure security, governance and data lineage, and partner with business sponsors to deliver measurable impact in weeks, not quarters.

Qualifications

• Proven experience building agentic or multi-agent AI systems in production.
• Strong command of state management, concurrency, idempotency and authorization.
• Hands-on integration with enterprise APIs and data platforms.
• Experience with modern AI patterns including retrieval-augmented generation and agent orchestration.
• Strong Azure expertise to provision, configure, deploy and operate cloud resources.

Responsibilities

• Design, build and harden agentic AI applications reading from and writing to enterprise systems.
• Embed as technical lead in a small pod, moving from problem to prototype to production rapidly.
• Run iterative build cycles with quick feedback and refinement.
• Ensure security, reliability, scalability, observability, and governed write-back to source systems.
• Balance low-code and custom code where appropriate; ensure AI-ready data with governance and lineage.

Skills

Agentic AI systems

State management

Concurrency

Authorization

Enterprise APIs

Azure

Fabric

Prototype fast

Tools

Microsoft Fabric

Azure AI Services

Power Platform

Copilot Studio

Lyzr / Moveworks

Job description

Job Role: 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. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+ and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.

Diversity, Equity, and Inclusion

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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. You will typically be the sole technical seat in a small pod alongside a process owner and a business sponsor, building applications that run multi-step workflows, hold state across many users, and act directly on enterprise systems of record. That is materially harder than a chatbot, and it is the point of the role.

You will build on Microsoft Fabric as our enterprise data platform and on Azure AI services, and you will help set the technical patterns the wider team reuses. If you want to build serious AI systems that change how a 50,000-person business actually works, and you want the autonomy to do it properly, this is the role.

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.