Join a leading buy-side investment firm as Head of Engineering and AI , taking ownership of proprietary investment and operations platforms while driving the transformation to AI-augmented development.
This is a hands-on leadership role for an engineering leader who treats software as a craft, has strong opinions on modern application architecture, and is energized by building AI-native delivery capabilities.
Responsibilities
Proprietary Applications
Lifecycle ownership of core investment and operations systems
Application portfolio including architecture, technical roadmap, framework modernization
Decommissioning legacy components and driving technical evolution
AI-Augmented Delivery
Drive adoption of Claude Code , agentic pipelines, and AI-generated testing across the development lifecycle
Productionize existing PoCs (unit test generation, codebase documentation, ADO-to-GitHub automation)
Build AI-native delivery model reducing external supplier dependency
MCP & Integration Architecture
Build MCP connector layer exposing proprietary systems to firm's AI estate
Implement governance, audit trails, and access controls
Enable secure, governed AI integration with core platforms
Team & Supply Model
Lead small senior in-house engineering squad augmented by selected contractors
Set engineering standards, code review culture, and delivery cadence
Reduce dependency on external development suppliers through AI-augmented in-house capability
Governance & Audit Readiness
Ensure institutional investor scrutiny standards met
AI code provenance, container hardening, change control, full audit trails
FCA regulated environment compliance without slowing delivery
We're Looking For
An engineering leader who has done the work, not just managed it.
Essential:
Strong track record building and running proprietary applications in financial services
Deep .NET background with modernization programme experience
Efinancialcareers · London, UK