AI Engineer (Agentic SDLC Expert - VP)

About The Role FDM is a global business and technology consultancy seeking an AI Engineer- Agentic SDLC Expert (VP) to work for our client within the Financial Services sector. This is initially an 8-month fixed-term contract with very good prospects to extend and will be a hybrid role based in London.

Our client is seeking an experienced AI Engineer- Agentic SDLC Expert to lead the transformation of software engineering through the adoption of Generative AI, Large Language Models (LLMs), AI Agents and AI-native software delivery practices. You will be responsible for designing, building and operationalising enterprise-scale Agentic SDLC platforms that automate and accelerate activities across the software development lifecycle, from requirements analysis and architecture design through to testing, deployment and continuous improvement. This is a strategic opportunity to shape AI-assisted software development at scale, driving engineering productivity, software quality and delivery speed across a complex enterprise environment.

Responsibilities

Design and implement Agentic SDLC platforms and AI-native engineering workflows that automate key stages of the software development lifecycle.

Build and orchestrate intelligent multi-agent systems, AI workflows, prompt chains, knowledge retrieval solutions and Model Context Protocol (MCP) integrations.

Develop AI-powered engineering accelerators that support requirements analysis, solution design, code generation, test automation, documentation and deployment readiness validation.

Integrate AI capabilities across enterprise engineering platforms including GitHub Enterprise, GitHub Copilot, GitHub Actions, CI/CD tooling and organisational knowledge repositories.

Establish AI engineering governance frameworks, including human-in-the-loop processes, model governance controls, auditability standards and AI output validation mechanisms.

About You

Minimum 10 years' experience in software engineering, platform engineering or enterprise technology environments, with significant exposure to AI-driven development practices.

Strong experience with Large Language Models (LLMs), Generative AI, AI Agent frameworks, agent orchestration, prompt engineering and AI workflow automation.

Hands-on experience designing or implementing AI-driven development workflows, autonomous engineering agents, SDLC automation platforms and developer productivity solutions.

Strong technical background in Java development, Spring Boot, API design, enterprise architecture, distributed systems, build and release engineering and software troubleshooting.

Experience with GitHub Enterprise, GitHub Copilot, GitHub Actions, Jenkins, Maven, OpenShift, Kubernetes, Docker and public cloud platforms such as GCP.

Strong understanding of Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), tool calling, function calling, multi-agent systems, grounded AI systems and AI evaluation frameworks.

Desirable Skills

Experience with LangGraph, OpenAI Agents SDK and Agent Evaluation Frameworks.

Knowledge of knowledge graphs, ontologies and graph-based knowledge systems.

Experience with AI observability, AI governance platforms and prompt lifecycle management.

Exposure to Internal Developer Platforms (IDPs), platform engineering and application modernisation initiatives.

Strong understanding of modern software architecture and engineering transformation programmes