Senior Consultant (I8) at Dell Technologies

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

09 Aug, 26

Salary

0.0

Posted On

11 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Platform Engineering, NVIDIA GPU Orchestration, Kubernetes, Red Hat OpenShift, MLOps, GenAI, Infrastructure-as-Code, Dell PowerEdge, PowerScale, PowerSwitch, Slurm, Ansible, Terraform, Python, PyTorch, InfiniBand

Industry

Computer Hardware Manufacturing

Description

Senior Consultant – AI Platform Engineer Today, every organization needs to be digital, powered by data, running in a multi-cloud world, ready to take on anything. Our Consulting team assesses customer’s strategic, organizational and business challenges and uses in-depth industry knowledge to offer technical solutions that apply to future business environment and operational objectives to help our Dell Technologies gain market share and increase efficiency. Join us to do the best work of your career and make a profound social impact as a Professional Services Senior Consultant on our Consulting Team in [Location]. What you’ll achieve 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 Dell’s world-class hardware (PowerEdge, PowerScale, PowerSwitch) and the advanced software orchestration layers (NVAIE, Kubernetes, Slurm) required to turn raw silicon into business value. You will: * Provide technical leadership across pre‑sales and post‑sales engagements, leading customer workshops and designing Sovereign AI and Private Cloud AI platforms using Dell Validated Designs and Dell PowerEdge XE systems with NVIDIA AI Enterprise. * Act as an AI/HPC Subject Matter Expert, delivering HLD/LLD architectures integrating GPUs, high‑speed InfiniBand/RoCE networking, and advanced orchestration choices across bare metal and Kubernetes platforms. * Deploy, customize, and optimize OpenShift, Kubernetes, and HPC schedulers (Run:ai, Slurm) in air‑gapped, sovereign, and hybrid environments, including fractional GPU utilization to maximize hardware ROI. * Architect and deliver end‑to‑end MLOps and GenAI solutions using Kubeflow, MLflow, ClearML, Ray, and PyTorch, enabling distributed training, fine‑tuning, and multi‑cluster AI management with platforms like Rafay. * Lead complex multi‑stream AI infrastructure projects while contributing to practice development through reusable IP, automation (Ansible/Helm/Terraform), technical PoCs, and mentoring junior consultants to drive customer efficiency and competitive advantage. Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements Infrastructure Expertise: Deep hands‑on experience with Dell PowerEdge (XE/R series), PowerScale storage, and PowerSwitch networking for scalable AI and HPC platforms. • GPU & AI Orchestration: Strong mastery of NVIDIA GPU Operator, Network Operator, and NVIDIA Base Command Manager (BCM) for bare‑metal and containerized AI environments. • Cloud‑Native Platforms: Expert‑level Kubernetes and Red Hat OpenShift skills, including advanced security, CNI (Cilium/Multus), and CSI‑based storage integrations. • Workload & Resource Management: Proven experience with high‑concurrency AI schedulers such as Run:ai, Slurm, or Altair PBS to maximize GPU utilization and performance. • ML Platforms & Automation: Hands‑on delivery of Kubeflow, MLflow, Ray, and ClearML, combined with advanced automation using Ansible, Helm, Terraform, and Python for Infrastructure‑as‑Code.

Responsibilities

Lead the architecture and implementation of large-scale AI platforms, bridging Dell hardware with advanced software orchestration layers. Provide technical leadership across pre-sales and post-sales engagements to design Sovereign AI and Private Cloud AI platforms.