Staff Systems Engineer, AI Enablement and Productivity Engineering

Reddit Corporate Engineering is seeking a Systems Engineer to wrangle all the things AI for corporate engineering with a focus on integrations, governance and security. This role involves ensuring seamless connectivity between platforms and Generative AI tools, keeping a keen eye on both the points of integration and the data moving back and forth. You'll play a key role in shaping our Generative AI tool governance, establishing a platform-first approach to Agent and Tool creation with Generative AI, and driving forward what corporate AI can do for teams across the company

This position will design and implement process and policy around the role of Generative AI within our software stack, with a careful eye to balancing risk while still driving enablement of the business. You will be responsible for ensuring seamless and secure connectivity between our existing platforms and new Gen AI tools, with a special focus on software lifecycle management and implementing access policies through our secure service edge platform.

What We Can Expect From You:

• You have a proven track record of integrating with the known SaaS vendors. For example, you know your way around Okta, Cloudflare, and Google Workspace.
• You're always looking for ways to improve efficiency and can scale services using automation tools that utilize the latest AI models and trends.
• You have top-notch analytical and problem-solving skills.
• You love sharing your knowledge and mentoring others in your area of expertise.
• You're a fantastic team player who's dedicated, a quick learner, and thrives in a collaborative, fast-paced environment.
• You can spearhead the design of a robust and scalable data infrastructure to support Gen AI solutions, ensuring seamless integration between data sources, pipelines, and storage.
• You can offer hands-on data engineering support to teams testing Gen AI solutions; troubleshoot data issues, optimize data workflows, and refine data architectures as needed.
• You can implement automation tools and frameworks to streamline data flow through the pipelines, guaranteeing data availability and reliability.
• You stay current on Generative AI trends and can evaluate and integrate cutting-edge tools, frameworks, and practices to enhance our capabilities continually.
• You're a natural leader who can mentor junior engineers and collaborating teams, fostering a culture of excellence, teamwork, and continuous learning.

Role Responsibilities​

• 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.
• Collaborate closely with Security Engineering, Legal, Privacy, and Support teams when evaluating software and during technical design phases.
• Find and implement internal process and automation enhancements.
• Serve as an escalation point for the global Corporate Engineering support operations team.
• Help grow and mentor the global Corporate Engineering team.
• Independently own and drive multiple projects and deliverables for the team.
• Take part in evaluating, recruiting, hiring, and developing team members.

Qualifications

• 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.
• Exceptional interpersonal and communication skills, with a knack for mentoring and guiding junior engineers.
• Experience communicating with third-party vendors to manage expectations and relationships.
• Ability to explain complex technical concepts to diverse audiences and a collaborative mindset, effectively driving technical and strategic goals across different teams.
• Ability to participate in an on-call rotation that includes after-hours and weekend support.

Benefits

• 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
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave