Senior Consultant-Platform Engineer(NVIDIA AI, Kubernetes, OpenShift & MLflow)

Senior Consultant Platform Engineer

Role Overview-As a Consultant within the Dell AI & Data CoE, you will lead the architecture and implementation of large-scale AI platforms for our most strategic global customers. You are not just a builder; you are a technical visionary who helps clients navigate the complexities of the Dell AI Factory with NVIDIA and OSS.

You will bridge the gap between Dells world-class hardware (PowerEdge, PowerScale, PowerSwitch) and the advanced software orchestration layers (NVAIE, Kubernetes, Slurm) required to turn raw silicon into business value.

Key Responsibilities

• Lead technical workshops to design Sovereign AI and Private Cloud AI platforms using Dell Validated Designs (DVD). Act as a Subject Matter Expert (SME) on the integration of NVIDIA AI Enterprise (NVAIE) with Dell PowerEdge XE servers (H100/H200/B200).
• Develop high-level and low-level designs (HLD/LLD) that incorporate GPU/Network Operators and high-speed InfiniBand/RoCE fabrics. Deploy and optimize Red Hat OpenShift and upstream Kubernetes in air-gapped or hybrid-cloud enterprise environments.
• Implement advanced workload scheduling and fractional GPU slicing using Run:ai or Slurm to maximize client ROI on hardware. Guide customers in choosing and implementing the right orchestration layer (e.g., BCM for bare metal vs. Kubernetes for microservices).
• Architect end-to-end MLOps pipelines utilizing Kubeflow, MLflow, or ClearML to streamline the "data-to-model" lifecycle. Enable distributed training and fine-tuning (LLMs/GenAI) for clients using Ray and PyTorch on Dell infrastructure.
• Integrate Rafay for clients requiring decentralized or multi-cluster AI management across edge and core data centres. Contribute to the CoE by developing reusable IP, deployment playbooks, and automated Ansible/Helm/Terraform scripts.
• Mentor junior consultants and lead technical proof-of-concepts (PoCs) that demonstrate the performance of Dell-NVIDIA stacks.

Essential Requirements

• 10+ years in professional services or consulting, with a heavy focus on AI, Big Data, or HPC infrastructure GPU Orchestration: Mastery of NVIDIA GPU Operator, Network Operator, and NVIDIA Base Command Manager (BCM).
• Cloud-Native: Expert-level Kubernetes (CKA/CKS) or Red Hat OpenShift skills, including complex security, CNI (Cilium/Multus) and storage (CSI) configurations.
• Workload Management: Experience with Run:ai, Slurm, or Altair PBS for high-concurrency AI environments.
• ML Platforms: Hands-on experience with Kubeflow, MLflow, Ray, and ClearML.
• Automation: Advanced Ansible, Helm, Terraform, and Python skills for "Infrastructure as Code" delivery.
• Infrastructure: Deep expertise in Dell PowerEdge (XE/R series), PowerScale, and PowerSwitch networking.

Desirable Requirements

• Communication: Exceptional client-facing e.g., ability to explain complex GPU-to-GPU communication (NVLink/NVSwitch) to C-level stakeholders.
• Travel: Willingness to travel to client sites as needed to lead deployments.
• Preferred Certifications: CKA or Red Hat Certified Specialist, NVIDIA Certified Associate/Professional, Dell PowerEdge/PowerScale Proven Professional.

Who we are

We believe that each of us has the power to make an impact. Thats why we put our team members at the center of everything we do. If youre looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, were looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date: 15 May 2026

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