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Our FX Technology platform underpins the world's largest Markets FX business, operating continuously 24/7 across more than 87 countries globally. The stability, scalability, and evolution of this platform are critical to the firm's clients, markets, and reputation. We are undertaking a once-in-a-generation re-engineering of the FX Trade Services platform, creating a highly resilient, always-on, and globally scalable platform designed to support the business over the next 15+ years. A core pillar of this transformation is the adoption of an Agentic AI Software Development Lifecycle (SDLC) — a cutting-edge, persona-driven engineering model. This approach fundamentally changes how software is designed, built, tested, and supported. We are seeking a visionary, hands-on engineering leader, and AI evangelist to lead this transformation. The successful candidate will champion and operationalise an AI-first engineering culture, making the Agentic SDLC a core strategic capability and the primary driver of delivery, quality, and innovation. You will lead a 35+ global engineering group and play a defining role in shaping the future of engineering within FX Technology.
Job Responsibility
Lead the FX Trade Services re-engineering programme
Own and drive the adoption of an AI-first engineering strategy
Champion and evolve the Agentic AI SDLC
Define and continuously raise engineering standards
Drive the design of scalable, resilient system architectures
Prepare and present updates to senior technology and business leadership
Establish and scale a persona-based SDLC
Ensure persona definitions are well-governed, version-controlled, and continuously improved
Drive the systematic integration of AI tools and agents into all phases of the SDLC
Lead the organisation in measuring and optimising AI-assisted productivity
Foster a culture of experimentation, learning, and innovation
Partner with enterprise AI and platform teams
Act as a visible AI evangelist
Lead multiple re-engineering squads
Own and evolve shared engineering components and platform capabilities
Ensure systems are designed for operability, performance, and global availability
Balance delivery speed with platform stability, resilience, and regulatory compliance
Embed AI-enabled development practices
Build and lead a high-performing, globally distributed engineering organisation
Upskill engineering teams in AI-assisted development
Create a culture that embraces curiosity, experimentation, continuous learning, accountability, and engineering excellence
Attract and develop engineers
Empower teams to challenge traditional SDLC approaches
Ensure AI-driven and traditional engineering practices meet governance, audit, and control requirements
Define safe, explainable, and controlled use of AI
Maintain robust production management practices
Own disaster recovery and resilience strategies
Proactively manage technology and operational risk
Act as a visible and credible senior engineering leader
Advocate for AI-first engineering
Communicate a compelling vision for the Agentic SDLC transformation
Role-model ethical behaviour, accountability, and sound judgement
Requirements
10+ years of relevant Java technology experience
5+ years in engineering or technology leadership roles
Experience in financial services, markets, or regulated environments preferred
Demonstrated experience leading large-scale platform transformations
Exposure to AI/ML, developer productivity tooling, or automation at scale strongly preferred
Bachelor's degree or equivalent experience
Master's degree preferred
Nice to have
Experience in financial services, markets, or regulated environments
Exposure to AI/ML, developer productivity tooling, or automation at scale