Details:
- Salary: £90,000 - 100,000 - Annum
- Job Type: Permanent
- Job Status: Full-Time
- Salary Per: Annum
- Location: London
- Date: 5 days ago
Description:
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