AI Operations Engineer
Listed on 2026-10-31
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IT/Tech
AI Engineer (Applied/Software), SRE/Site Reliability, Cloud Computing: Infrastructure & Operations
Robinhood's Corporate Engineering team is building enterprise AI infrastructure to make AI capabilities reliable, secure, and accessible across the company. As an AI Operations Engineer, you will support, maintain, and improve AI platforms and infrastructure used by teams across Robinhood, working hands‑on with LLM integrations, automation, monitoring, and production systems.
What You’ll Do- Build internal tooling, automation, and self‑service solutions that streamline AI operations, reduce manual intervention, and improve developer experience
- Support and maintain enterprise AI platforms and infrastructure across cloud‑based and on‑premises environments to ensure reliable performance and availability
- Troubleshoot technical issues involving LLM integrations, APIs, model behavior, and system performance, working with developers and internal teams
- Support enterprise LLM integrations including Anthropic Claude and Google Gemini, monitoring API usage, token consumption, performance, and reliability
- Implement and maintain monitoring, observability, and deployment workflows for AI systems to identify issues and improve operational efficiency
- Experience in IT Operations, Site Reliability Engineering, or AI infrastructure and support, with a track record of operating complex production systems
- Practical experience working with AI platforms, LLM integrations, or AI‑powered applications, including exposure to Anthropic Claude, Google Gemini, or similar models
- Working knowledge of Linux administration and experience writing scripts or automation using Python, Bash, or similar languages
- Familiarity with infrastructure management, configuration, or orchestration tools such as Terraform, Ansible, Chef, or Kubernetes
- Experience troubleshooting production systems, investigating technical issues, and working with monitoring or observability tools
- Exposure to GPU infrastructure, AI workload orchestration, vector databases, RAG applications, agentic frameworks, or hybrid cloud environments
Base pay range varies by location:
Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $132,000–$155,000 USD;
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $116,000–$136,000 USD;
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $103,000–$121,000 USD.
Bonus opportunities, equity, benefits include 100% paid health insurance for employees, 90% coverage for dependents, 401(k) matching, life and disability insurance, fertility benefits, mental health benefits, paid time off, parental leave, and access to AI tools and training.
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