About this role
Enterprise Architect - AI at World Wide Technology Holding, LLC. Location: London, England, United Kingdom. Role: leading delivery, architecting infrastructure, mentoring teams Requirements: 10+ years enterprise architecture experience, 5+ years in AI/ML systems, expertise in GPU infrastructure, MLOps, governance, hyperscaler platforms, and leading technical delivery teams. Category: Information Technology Seniority: Senior Level Tools: NVIDIA, AMD, NVLink, NVSwitch, InfiniBand, RoCEv2, Everpure, WEKA, VAST, NetApp, Kubernetes, Docker, Slurm, Run:ai, PyTorch, TensorFlow, Horovod, DeepSpeed, Megatron-LM, NVIDIA Triton, vLLM, TensorRT-LLM, Kubeflow, MLflow, SageMaker, Microsoft Azure ML, Vertex AI, LoRA, QLoRA, Pinecone, Milvus, Weaviate, LangChain, LangGraph, Semantic Kernel, Terraform, Ansible, ArgoCD, Kubeflow Pipelines, Apache Airflow, Argo Workflows, NVIDIA Base Command Manager, NVIDIA DCGM, Prometheus, Grafana, Arize, WhyLabs, Langfuse, ELK, OpenSearch, OpenTelemetry, REST, gRPC, Kafka, Direct Connect, ExpressRoute, AWS, Azure, GCP, Python, Go, VMware, OpenShift, OpenStack Certifications: nvidia ncp-ai infrastructure, nvidia deep learning institute, aws machine learning, azure ai engineer associate, google professional machine learning engineer, cka, ckad, togaf Commitment: Full Time Workplace: Hybrid Languages: English