Senior AI Operations Engineer

Robinhood

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Menlo Park, CANew York, NYBellevue, WA
Salary
$153,000–$180,000 / yr
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $166k
$142k $249k
below market most similar roles pay here above market

This role pays less than 71% of similar roles. Most pay $162,000–$235,750 — the blue band above. At the midpoint, this role pays about $166k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Robinhood

Robinhood is a financial technology company offering commission-free stock, ETF, options, and cryptocurrency trading through its mobile app, aimed at democratizing access to financial markets. Industry: Financial Technology & Investment App

Robinhood currently has 45 open roles on FindRole.

Listed pay typically runs $196,000–$230,000 across 45 roles with salary data.

Most-posted roles

View all roles at Robinhood

At a glance

TL;DR · Senior AI Operations Engineer

The Senior AI Operations Engineer, Enterprise Tech joins the Corporate Engineering team to build and scale the next generation of enterprise AI infrastructure. This role focuses on making AI capabilities reliable, secure, and accessible across the company by managing enterprise LLM integrations and production infrastructure. You will build internal tooling, automation, and self-service solutions while owning complex technical troubleshooting for LLM integrations, model behavior, and system performance. Key responsibilities include optimizing integrations with Anthropic Claude and Google Gemini, managing token utilization, and improving observability for AI workloads. You will utilize Python, Bash, Terraform, Ansible, Chef, and Kubernetes. The role involves supporting agentic workflows, vector databases, and retrieval-augmented generation systems to solve technical challenges regarding inference latency, API costs, and scalable AI adoption.

What you'll do

  • Build internal tooling and automation to streamline AI operations and improve developer experience.
  • Troubleshoot and resolve complex technical issues involving LLM integrations, model behavior, and API performance.
  • Manage and optimize enterprise integrations with LLM providers like Anthropic Claude and Google Gemini.
  • Develop monitoring and deployment pipelines to track inference latency, API costs, and token usage.
  • Support and optimize agentic workflows, vector databases, and retrieval-augmented generation (RAG) systems.
  • Partner with cross-functional teams to identify recurring issues and drive long-term improvements to AI capabilities.

What we're looking for

  • 5+ years of experience in IT Operations, Site Reliability Engineering, or AI infrastructure and support.
  • Hands-on experience with enterprise AI platforms and LLM integrations, specifically Anthropic Claude and Google Gemini.
  • Strong Linux administration skills and proficiency in scripting and automation using Python, Bash, or similar languages.
  • Experience with infrastructure provisioning, configuration management, and orchestration tools such as Terraform, Ansible, Chef, or Kubernetes.
  • Strong understanding of production infrastructure, system reliability, monitoring, and troubleshooting across cloud or on-premises environments.
  • Ability to independently investigate ambiguous technical problems, identify root causes, and develop scalable solutions.
  • Strong communication and collaboration skills with experience partnering with developers and cross-functional teams.
  • Experience with GPU clusters, AI workload orchestration, vector databases, AI frameworks, or hybrid cloud and bare-metal infrastructure (preferred).

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