Head of AI / Data Architecture

Your new company
We are partnering with a leading financial services organization to build a next-generation AI Hub. As part of this strategic initiative, we are looking for a Head of AI / Data Architecture to design and lead the enterprise-scale AI architecture powering mission-critical business applications.

Key Responsibilities

• Lead the design and implementation of end-to-end AI / GenAI architecture across the enterprise
• Build scalable AI platforms, including:
  • Data layer (data lake / lakehouse, pipelines)
  • Model layer (ML/LLM systems, RAG pipelines, vector DBs)
  • Serving layer (APIs, real-time inference, model serving)
• Define architecture standards for:
  • Performance, scalability, and reliability
  • High-concurrency and enterprise-grade deployments
• Drive the adoption of GenAI use cases in core business areas (e.g., customer service, claims, underwriting, operations)
• Collaborate closely with:
  • Engineering, Data, Product, and Business teams
  • Senior stakeholders across the organisation
• Lead technical decision-making across cloud infrastructure (Azure / AWS / GCP) and AI platforms
• Ensure integration of AI systems with existing enterprise platforms (CRM, core systems, etc.)
• Build and mentor high-performing architecture and engineering teams

Requirements

Core Experience

• 12+ years in data, AI, or technology architecture roles
• Proven experience designing and delivering enterprise-scale AI/GenAI systems in production
• Hands-on experience with LLM-based architectures (e.g., RAG, embeddings, vector search, AI agents)
• Strong track record in high-concurrency, large-scale environments (serving large user bases or transaction volumes)

Technical Expertise

• Deep knowledge of:
  • Distributed systems and microservices architecture
  • Cloud platforms (Azure, AWS, or GCP)
  • MLOps / LLMOps frameworks
• Experience with:
  • Real-time inference and model serving
  • Data engineering pipelines and modern data platforms
• Ability to translate business requirements into scalable technical solutions

Leadership & Stakeholder Management

• Proven ability to drive solutions end-to-end, from design to deployment
• Strong collaboration skills across engineering, product, and business teams
• Comfortable operating in ambiguous, fast-evolving environments

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.