Staff Security Engineer, AI
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.The Crown Is YoursWe’re seeking a Staff Security Security Engineer to join our growing security team focused on ensuring our use of emerging technology at DraftKings is done safely and securely, relying on deep technical expertise and knowledge to assess how to safely connect and deploy new workflows, processes, and technologies.To do this you will work strategically, influencing the company’s overall security posture, architecture, and roadmap in a variety of domains. You’ll work with product, engineering and research teams to build and deploy tooling that will help the business connect different services and data together. You’ll explain your work to a broad audience spanning from individual contributors in a variety of departments to senior leadership.The team you’re joining is cross-disciplinary, driven, supportive, and global. Each member brings unique, respected perspectives whether they just joined or were founding team members. What you’ll do as a Staff Security EngineerSet the security standards and guardrails for the AI platform. Define the principles, reference architectures, and policy-as-code that all AI tooling at DraftKings adheres to, so that many teams can build agents and workflows while still meeting a consistent security bar. Focus on specifying the environment, infrastructure, and authentication methods agents rely on, rather than reviewing every individual implementation.Review and build the architecture of AI gateways and tooling. Provide security review, sign-off, and possibly pair on implementation of these systems, and the systems that they interface with.Make the security review process scale. Streamline how AI services move through InfoSec review on their way to production, so the bar stays high but does not become the bottleneck.Reduce AI-driven security noise. Partner with platform and detection teams on telemetry (tool-call metrics, auditing agents over that data) and on lightweight controls like standardized system prompts that cut unnecessary investigations without slowing engineers down.Drive remediation efforts of complex, cross-functional security issues. When relevant, you’ll be called into investigations to assist.Coach and raise the bar. Mentor security and platform engineers, lead technical and SME discussions on AI security, and elevate the team's overall capability in this space. What you’ll bring7+ years experience in engineering - building and operating systems in production.5+ years ...