Deloitte CE

We are a technology consulting firm building and operating next-generation AI supercompute infrastructure for the world's most ambitious organizations. As AI Platform Architect and Engineer, you will work hands-on across the full platform stack, including infrastructure, AI platform software, with a particular focus on the architecting and implementing physical and logical platforms layer that makes large-scale GPU clusters perform at their theoretical limits to serve AI platform for users. 

As a repeatedly awarded NVIDIA Consulting Partner of the Year in EMEA, we hold one of the deepest and most recognized NVIDIA partnerships in the region. This gives our engineers privileged access to adoption programmes and NVIDIA's engineering teams.

You will work with technology and at a scale that most engineers won't encounter for years.

This is a role for someone at a mid-career stage in platform, infrastructure architecture and engineering. You have solid foundations and real hands-on experience, ability to drive architecture and client discussions, then AI platform set up, and you are ready to level up by working on problems of genuine complexity and scale. You know enough to know what you don't know yet, and you are hungry to close that gap fast.

What We Expect

·                 5–8 years of hands-on experience in systems architecture and engineering 

· Understanding of overall systems architecture, platforms, from infrastructure through operating systems, containerization, monitoring, etc.

· Ability to drive/participate in architecture discussions internally and with clients, with ability to quickly close knowledge gap where needed

· Familiarity with Linux networking: interfaces, bridges, bonding, namespaces, tc/qdisc, and kernel network tuning

· Basic hands-on experience with Kubernetes or Slurm: enough to navigate cluster operations, understand pod scheduling, and troubleshoot node-level issues

· Knowledge and experience with AI platforms, MLOps

· Experience with at least one monitoring stack: Prometheus, Grafana, Zabbix, or similar

· Experience with network automation and IaC

· Comfort of working directly with physical hardware: servers, switches, cabling and data centre environments

· Understanding of networking fundamentals: OSI model, switching and routing (BGP, OSPF), VLANs, MTU, and traffic engineering

· Working knowledge of high-performance networking technologies: InfiniBand, RDMA, RoCE, or equivalent HPC interconnects

· EU Work Permit

Bonus Experience

·           Exposure to NVIDIA products: hardware and AI platform

·     Familiarity with NCCL tuning, collective communication patterns, or distributed training networking requirements

·     Hands-on time with DCGM, iperf3, perftest, or ibdiagnet for infrastructure benchmarking and validation

·     Exposure to container networking

·     Any experience in a consulting or client-facing technical role