Define the Group’s AI Architecture Strategy and target-state architecture.
Define reusable logical patterns across AI (e.g., ML, LLMOps, RAG, vector search, Agentic orchestration, guardrails, observability.)
Create transition roadmaps to scale safe, compliant AI solutions across the bank.
Partner with engineering platforms, data, security and risk teams to shape AI-enabled journeys.
Support areas like Responsible AI and Model risk by ensuring the right technical controls and automation are included.
Provide architectural guidance and oversight across federated delivery teams.

Requirements

Proven experience as an Enterprise Architect in a large organisation
Expertise across all areas of AI (e.g., ML, generative AI, agentic AI, vector stores, prompt engineering)
Strong understanding of data sourcing, data pipelines, cloud-native AI services and enterprise integration
Excellent communication and stakeholder engagement skills
Ability to produce clear patterns, standards and technical strategies

Benefits

A generous pension contribution of up to 15%
An annual bonus award, subject to Group performance
Share schemes including free shares
Benefits you can adapt to your lifestyle, such as discounted shopping
30 days’ holiday, with bank holidays on top
A range of wellbeing initiatives and generous parental leave policies

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI architecturemachine learning (ML)large language models (LLM)RAG (retrieval-augmented generation)vector searchagentic orchestrationdata sourcingdata pipelinescloud-native AI servicesenterprise integration

Soft Skills

communicationstakeholder engagementarchitectural guidanceoversightpattern creationstandardizationtechnical strategy development