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. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . 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 an ... (truncated, view full listing at source)