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.
• Define scalable cloud-native AI solutions using Google Cloud Platform (GCP).
• Lead the architecture of enterprise AI platforms supporting both traditional Machine Learning and Generative AI use cases.
• Drive best practices across MLOps, LLMOps and AgentOps, including CI/CD, model registries, feature stores, lineage tracking and observability.
• Design secure, resilient real-time, batch and streaming AI inference solutions.
• Ensure AI solutions meet governance, security, regulatory and compliance requirements within financial services.
• Collaborate with engineering, data, security and business teams to deliver production-ready AI capabilities.
• 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.
• Strong experience designing end-to-end AI/ML platforms and production-ready architectures.
• Hands-on knowledge of Google Cloud Platform (GCP) and cloud-native AI services.
• Experience with MLOps, LLMOps or AI platform engineering, including model lifecycle management and deployment pipelines.
• Strong understanding of AI governance, model risk, auditability and responsible AI practices.
• Experience working within regulated industries, ideally banking or financial services.
• Knowledge of cloud security, IAM, networking and secure architecture principles.
• 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.
• Kubernetes, Docker, Terraform or Infrastructure as Code.
• Experience delivering AI transformation programmes within enterprise organisations.