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Build and maintain internal tooling, automation, and self‑service solutions for AI operations, and support enterprise AI platforms, LLM integrations, monitoring, and observability across cloud and on‑prem environments.
Experience in IT Ops/SRE or AI infrastructure, hands‑on work with LLMs (e.g., Anthropic Claude, Google Gemini), Linux scripting (Python/Bash), and familiarity with Terraform, Ansible, Chef or Kubernetes.
The role ensures Robinhood’s AI capabilities are reliable, secure, and easy to use, enabling the company’s broader mission to democratize finance by scaling AI across the organization.
A problem‑solver who enjoys troubleshooting production systems, building automation, and collaborating with engineers and product teams, and who is eager to learn emerging AI technologies.
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.
We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
The Corporate Engineering team is building and scaling the next generation of enterprise AI infrastructure at Robinhood. Our mission is to make AI capabilities reliable, secure, and accessible across the company, enabling teams to build, deploy, and operate intelligent solutions at scale. From enterprise LLM integrations to agentic workflows and hybrid cloud infrastructure, we're creating the foundation that supports how Robinhood leverages AI internally.
As an AI Operations Engineer, you'll help support, maintain, and improve the AI platforms and infrastructure used by teams across Robinhood. You'll work hands-on with LLM integrations, automation, monitoring, and production systems, partnering with engineers and internal users to troubleshoot issues and build solutions that make our AI capabilities more reliable and easier to use. This is an opportunity to grow your expertise in AI infrastructure while contributing to a rapidly evolving area of Corporate Engineering.
This role is based in our Menlo Park, CA, New York, NY, and Bellevue, WA offices, with in-person attendance expected at least 3 days per week.
At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.
In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
Base Pay Range:
Click here to learn more about our Total Rewards, which vary by region and entity.
If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.
AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
