AI Platform Architect

AI Platform Architect Location: London (Hybrid - 1-2 days per week) Salary: £80,000 - £100,000 + Bonus & Excellent Benefits We're partnering with a global technology consultancy delivering one of the UK's largest AI transformation programmes within the banking sector.

As an AI Architect, you'll play a key role in designing and delivering enterprise-scale AI solutions for a major financial services client. Working across architecture, engineering, and business teams, you'll define AI strategy, design scalable cloud-native solutions, and ensure AI platforms are secure, governed, and ready for production.

What You'll Be Doing Design end-to-end AI and Machine Learning architectures, from data ingestion through to model deployment and monitoring.<br />Define scalable cloud-native AI solutions using Google Cloud Platform (GCP).<br />Lead the architecture of enterprise AI platforms supporting both traditional Machine Learning and Generative AI use cases.<br />Drive best practices across MLOps, LLMOps and AgentOps, including CI/CD, model registries, feature stores, lineage tracking and observability.<br />Design secure, resilient real-time, batch and streaming AI inference solutions.<br />Ensure AI solutions meet governance, security, regulatory and compliance requirements within financial services.<br />Collaborate with engineering, data, security and business teams to deliver production-ready AI capabilities.<br />Provide technical leadership and architectural guidance across multiple workstreams.

What We're Looking For Proven experience as an AI Architect, Enterprise Architect or Machine Learning Architect delivering enterprise AI solutions.<br />Strong experience designing end-to-end AI/ML platforms and production-ready architectures.<br />Hands-on knowledge of Google Cloud Platform (GCP) and cloud-native AI services.<br />Experience with MLOps, LLMOps or AI platform engineering, including model lifecycle management and deployment pipelines.<br />Strong understanding of AI governance, model risk, auditability and responsible AI practices.<br />Experience working within regulated industries, ideally banking or financial services.<br />Knowledge of cloud security, IAM, networking and secure architecture principles.<br />Excellent stakeholder management skills with the ability to engage both technical and business audiences.

Desirable Experience Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and AI Agents.<br />Kubernetes, Docker, Terraform or Infrastructure as Code.<br />Experience delivering AI transformation programmes within enterprise organisations