AI Platform Engineer: GPU, Kubernetes & RAG Workflows

Intercontinental Exchange Holdings, Inc.

Atlanta (GA)

On-site

USD 150,000 - 230,000

Full time

5 days ago
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Job summary

Intercontinental Exchange, Inc. is seeking an AI Platform Engineer to design, deploy, and optimize GPU-based AI/ML infrastructure.

The role focuses on containerized workloads, vector stores, RAG pipelines, and multi-agent workflows, with strong emphasis on reliability and security within a containerized platform. You will build tooling for automation, manage MCP servers, and collaborate with developers, operations staff, and release engineers in a 24/7 production environment.

Qualifications

  • Bachelor's degree preferred.
  • 3+ years in infrastructure engineering, systems administration, or DevOps.
  • 3+ years in scripting and automation skills (Python, Ansible, GitOps).
  • 3+ years hands-on experience with Kubernetes in production.
  • 2+ years experience with Linux administration.
  • Direct experience with GPU infrastructure (NVIDIA preferred).
  • 1+ years experience using MCPs, vector databases, embedding infrastructure, RAG pipelines, and agent memory patterns.
  • Fluent English in professional contexts.

Responsibilities

  • Deploy, configure, and maintain GPU clusters and associated infrastructure.
  • Design and maintain the workflow automation platform using AI capabilities (LLM/MCP/Agentic).
  • Manage NVIDIA drivers, CUDA toolkits, and container runtimes.
  • Build and maintain container images with ML frameworks (PyTorch, TensorFlow, etc.).
  • Implement monitoring, alerting, and observability for GPU infrastructure.
  • Maintain vector store infrastructure for RAG pipelines and semantic search.
  • Develop automation to improve platform reliability and efficiency.
  • Provide L2/L3 technical support and vendor escalation.

Skills

Python scripting
Kubernetes
Linux administration
CI/CD automation
GPU infrastructure
Observability
English communication

Education

Bachelor's degree preferred

Tools

NVIDIA drivers
CUDA toolkit
GitHub Actions
Run:AI
NVIDIA AI Enterprise
DGX systems

Job description

Intercontinental Exchange, Inc. is seeking an AI Platform Engineer to design, deploy, and optimize GPU-based AI/ML infrastructure.

The role focuses on containerized workloads, vector stores, RAG pipelines, and multi-agent workflows, with strong emphasis on reliability and security within a containerized platform. You will build tooling for automation, manage MCP servers, and collaborate with developers, operations staff, and release engineers in a 24/7 production environment.

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