Staff Systems Engineer, AI Enablement and Productivity Engineering
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.
What this role actually needs.
Staff Systems Engineer, AI Enablement and Productivity Engineering at Reddit in Remote (United States). UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.
Day-to-day expectations
A clear list of the work this role is designed to cover.
- Design and maintain the infrastructure required for multi-agent orchestration, ensuring that internal AI agents can securely interact with Reddit’s SaaS stack (Google Workspace, Jira, Slack)
- Lead the deployment of AI-enabling infrastructure using Terraform and CI/CD patterns, treating system prompts, model parameters, and agent logic as version-controlled code.
- Establish the standard for Non-Human Identity Management, ensuring every AI agent operates under a specific service identity with scoped permissions (RBAC) and loggable interactions
- Implement automated LLM guardrails across internal corporate data sources and AI interface points
- Secure and curate the catalog of internal MCP servers, preventing prompt injection attacks and ensuring secure execution environments for autonomous tasks.
- Manage the "AI Unit Economics" for Corporate Engineering, implementing strategies for visibility into token consumption and spend across multiple platforms.
What a strong candidate brings
This keeps the job page specific, readable, and easier to match.
- 7+ Years in Systems/Security Engineering: Significant experience in IT, Corporate Engineering, Security, or Systems Administration
- Hands-on experience building or managing multi-agent systems using frameworks like LangGraph, CrewAI, or Semantic Kernel, or equivalent deployment of Enterprise Grade Agentic Platforms (e.g. from OpenAI, Google, Anthropic, etc.)
- Deep expertise in identity protocols (OIDC/SAML/OAuth) with a specific focus on securing autonomous service identities—ensuring agents have scoped, temporary, and auditable access to SaaS environments.
- Proven ability to design and implement microservices, manage APIs, and build and maintain CI/CD pipelines, using Infrastructure as Code (Terraform), all while adhering to industry-standard testing methods.
- Experience implementing access policies via platforms like Cloudflare One or Zscaler to manage how AI traffic moves between internal networks and third-party model providers, as well as SaaS data connections
- Excellent analytical and problem-solving skills.
Why people would want this job
Benefits help searchers understand whether the role is a real fit before they apply.
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
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Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to staff systems engineer, ai enablement and productivity engineering is a high-signal remote role in remote (united states), and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
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- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Lead with distributed collaboration, async delivery, and timezone discipline.
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