Enterprise Architect - AI
- Location
- Greater London, England, United Kingdom
depth across the practice. Partner with sales and pre-sales to scope AI solutions, size infrastructure, and validate technical feasibility of proposed architectures. Define automation, orchestration, and observability standards across the AI stack, from GPU cluster provisioning through to model monitoring in production. Architect integration points connecting AI platforms … LangGraph, Semantic Kernel). Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation, Orchestration & Observability Infrastructure-as-code: Terraform and Ansible for repeatable, automated provisioning of GPU clusters and AI platform environments; GitOps (ArgoCD) for continuous, declarative ...