AI Platform Architect in London

AI Platform Architect in London

London Full-Time 80000 - 100000 £ / year (est.) No working from home possible
83zero Ltd

At a Glance

  • Tasks: Design and deliver cutting-edge AI solutions for a major financial services client.
  • Company: Join a global tech consultancy leading AI transformation in banking.
  • Benefits: Competitive salary, bonuses, excellent benefits, and hybrid work model.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Be at the forefront of AI innovation and make a real impact.
  • Qualifications: Experience in AI architecture and cloud-native solutions, especially GCP.

The predicted salary is between 80000 - 100000 £ per year.

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.

AI Platform Architect in London employer: 83zero Ltd

At 83zero Ltd, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our remote-first approach allows for flexibility while still providing opportunities for meaningful engagement through occasional travel to London for key meetings. We are committed to employee growth, offering continuous learning and development opportunities, making us an ideal choice for professionals looking to advance their careers in enterprise transformation.

83zero Ltd

Contact Details:

83zero Ltd Recruitment Team

We think you need these skills to ace AI Platform Architect in London

AI Architecture
Machine Learning Architecture
Google Cloud Platform (GCP)
MLOps
LLLOps
AI Platform Engineering
Model Lifecycle Management