Role: Architect - Platform Engineer

Experience Level: 10+ yrs

Work Location: 100% Remote -East/Canada [ET & CT]

Role Overview:

We are looking for a highly skilled Architect - Platform Engineer to design, optimize, and scale infrastructure for GenAI and LLM workloads. This role is ideal for someone with deep hands-on experience in GPU profiling, distributed training, and high-performance compute environments.

You’ll play a key role in building out GenAI platform foundations, supporting production-grade deployments, and partnering closely with data science, MLOps, and application teams to bring cutting-edge AI solutions to life.

Key Responsibilities:

● Design and implement scalable infrastructure for LLM and GenAI workloads across multi-GPU environments

● Perform GPU profiling, benchmarking, and performance optimization for distributed training workloads

● Manage and schedule compute-intensive jobs using Slurm-based clusters and OpenShift/Kubernetes environments

● Enable and optimize the NVIDIA GPU stack (CUDA, cuDNN, NCCL, Triton, RAPIDS, etc.)

● Collaborate with cross-functional teams to deploy models in research and production environments

● Build and support GenAI pipelines (fine-tuning, RAG, multi-modal inferencing, LLMOps)





● Develop reusable infrastructure templates using tools like Terraform and Helm

● Contribute to internal innovation (PoCs, workshops) and support client-facing delivery engagements Basic Qualifications:

● Strong experience with Slurm and distributed training environments

● Hands-on expertise with Red Hat OpenShift and/or Kubernetes

● Deep knowledge of the NVIDIA GPU ecosystem (CUDA, cuDNN, NCCL, Nsight, Triton/TensorRT)

● Robust foundation in Linux systems, performance tuning, and multi-GPU optimization

● Experience deploying GenAI workloads (LLM fine-tuning, RAG pipelines, multi-modal systems)

● Familiarity with Infrastructure-as-Code tools (Terraform, Ansible)

● Experience with cloud GPU environments (GCP, Azure, AWS, OCI) and/or on-prem GPU clusters

Other Qualifications (OQs):

● Experience with NVIDIA NIMs, DGX systems, or GPU-accelerated containers

● Knowledge of LLMOps frameworks and MLOps integration

● Familiarity with vector databases and retrieval systems for RAG architectures

● Comfortable working in client-facing environments and collaborating with AI solution teams

Pay: $140,000.00-$150,000.00 per year

Experience:

- NVIDIA GPU: 1 year (required)
- AI/ML: 1 year (required)

Work Location: Remote

📌 Platform Engineer (Canada)
🏢 Tekishub Consulting Services
📍 Canada