Senior AI Platform & Ops Engineer (Enterprise)

Wwshemi; Bellevue, Menlo Park, New York (WA, CA, NY); On-site; USD 153,000 - 180,000; Full time

Benefits offered by this job

High-impact work

Equity & bonus

Health insurance

AI tools access

Time off & holidays

Catered meals

Job summary

Robinhood is seeking a Senior AI Operations Engineer in Enterprise Tech to design, deploy, and operate our enterprise AI infrastructure across Bellevue, WA; NYC; and Menlo Park. The role emphasizes internal tooling, observability, and robust LLM integrations to support scalable AI workloads.

You will partner with Product, Software Engineering, Business Systems, and AI Strategy teams to drive reliability, performance, and cost efficiency, leveraging Linux, Python, Terraform, Ansible, Kubernetes,

Qualifications

• 5+ years in IT Operations, SRE, or AI infra
• Hands-on with enterprise AI platforms and LLM integrations
• Strong Linux administration and scripting
• Experience with infra provisioning and orchestration tools

Responsibilities

• Build internal tooling and automation for AI operations
• Own complex troubleshooting across AI platforms and LLM integrations
• Manage enterprise integrations with LLM providers for performance and cost
• Develop observability and deployment pipelines for AI workloads
• Support agentic workflows and RAG systems for reliability
• Collaborate with Product, Eng, Business Systems, and AI Strategy teams

Skills

IT Operations

SRE

AI infrastructure

Linux

Python scripting

Terraform/Ansible/Kubernetes

LLM integrations

GPU clusters

Tools

Terraform

Ansible

Kubernetes

Chef

Job description

Robinhood is seeking a Senior AI Operations Engineer in Enterprise Tech to design, deploy, and operate our enterprise AI infrastructure across Bellevue, WA; NYC; and Menlo Park. The role emphasizes internal tooling, observability, and robust LLM integrations to support scalable AI workloads.

You will partner with Product, Software Engineering, Business Systems, and AI Strategy teams to drive reliability, performance, and cost efficiency, leveraging Linux, Python, Terraform, Ansible, Kubernetes,