AI Operations Engineer

Robinhood; Menlo Park (CA); On-site; USD 132,000 - 155,000; Full time

Benefits offered by this job

Health insurance

Equity ownership

401(k) matching

Catered meals

Employee Fund access

Job summary

Robinhood is building an enterprise AI infrastructure team to support company-wide AI capabilities. The AI Operations Engineer will maintain platforms, automate workflows, and ensure reliable, scalable AI systems across cloud and on‑prem environments.

This role is based in Menlo Park, with in-person work required at least 3 days per week, and opportunities to collaborate across multiple teams. Ideal candidates bring IT/SRE/AI infra experience, Linux scripting skills, and familiarity with

Qualifications

• Experience in IT Operations, Site Reliability Engineering, or AI infrastructure and support.
• Practical experience with AI platforms and LLM integrations.
• Working knowledge of Linux administration and scripting (Python, Bash).
• Familiarity with infrastructure tools such as Terraform, Ansible, Chef, or Kubernetes.
• Experience with monitoring/observability tools and production systems troubleshooting.
• Clear communication with developers and stakeholders.

Responsibilities

• Build internal tooling, automation, and self-service solutions to streamline AI operations.
• Support and maintain enterprise AI platforms across cloud and on‑prem environments.
• Troubleshoot issues involving LLM integrations, APIs, model behavior, and system performance.
• Monitor API usage, token consumption, and reliability for AI services.
• Implement monitoring, observability, and deployment workflows for AI systems.
• Collaborate with Product, Software Engineering, Business Systems, and AI Strategy teams to improve reliability.

Skills

IT Operations

Site Reliability Engineering

AI infrastructure

Troubleshooting

Automation mindset

Tools

Terraform

Ansible

Chef

Kubernetes

Linux scripting

Job description

Join us in building the future of finance.

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.

About the team + role

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.

What You’ll Do

• Build internal tooling, automation, and self-service solutions that streamline AI operations, reduce manual intervention, and improve the developer experience.
• Support and maintain enterprise AI platforms and infrastructure across cloud-based and on-premises environments, helping ensure reliable performance and availability.
• Troubleshoot technical issues involving LLM integrations, APIs, model behavior, and system performance, working directly with developers and internal teams to identify and resolve problems.
• Support enterprise LLM integrations, including Anthropic Claude and Google Gemini, helping monitor API usage, token consumption, performance, and reliability.
• Implement and maintain monitoring, observability, and deployment workflows for AI systems, identifying issues and opportunities to improve operational efficiency.
• Collaborate with Product, Software Engineering, Business Systems, and AI Strategy teams to gather feedback, investigate recurring issues, and improve the reliability and usability of enterprise AI solutions.

What You Bring

• 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.
• Strong problem-solving skills, curiosity, and an interest in learning emerging AI technologies and infrastructure.
• Ability to communicate technical issues clearly and collaborate with developers, engineers, and internal stakeholders.
• Bonus: Exposure to GPU infrastructure, AI workload orchestration, vector databases, RAG applications, agentic frameworks, or hybrid cloud environments.

What We Offer

• Challenging, high-impact work to grow your career.
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
• Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
• Access to the Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds.
• Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not.
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more.
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

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

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

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.