Summary
What you’ll impact
The Lead AI Security Engineer designs, builds, and operates a scalable AI platform that lets security teams develop and deploy AI‑powered agents and capabilities. The role uses Go or Python, AWS, Kubernetes, gRPC, and Kafka to create cloud‑native, distributed services with robust identity, authentication, authorization, and encryption. Key duties include building reusable APIs, SDKs, and libraries, implementing security primitives, and enhancing performance, reliability, and developer experience through automation. The engineer partners with security and infrastructure teams to translate needs into platform capabilities and mentors peers on secure, large‑scale AI design.
Responsibilities
What you'll do
- Design and build a scalable AI platform that enables security teams to develop, deploy, and operate AI-powered agents and security capabilities
- Build foundational platform services, APIs, libraries, and SDKs that make it easier for teams to integrate AI into security workflows
- Design secure systems with strong identity, authentication, authorization, encryption, and data protection controls
- Build and operate reliable, large-scale distributed systems that support AI-powered security use cases
- Develop platform capabilities and guardrails that enable teams to safely build and operate AI agents
- Partner with security, infrastructure, and engineering teams to understand their needs and translate them into reusable platform capabilities
- Identify opportunities to improve platform performance, developer experience, reliability, and security through automation
- Help shape the technical direction and architecture of the organization’s AI Security platform as the team and platform continue to grow
Requirements
What you’ll bring
- 8+ years of software development experience
- 6+ years of experience building large-scale distributed systems, with experience designing systems around security concepts such as authentication, authorization, identity, or encryption
- Experience building AI platforms, AI infrastructure, or production systems that support AI-powered applications or agents
- Proficiency in Go or Python, with strong problem-solving and production debugging skills
- Experience with cloud-native platforms and distributed systems technologies such as AWS, Kubernetes, gRPC, or Kafka
- Strong understanding of security fundamentals and experience incorporating security into the design of production systems
- Experience designing and building reusable platform capabilities, APIs, libraries, or developer tooling
- Proven experience delivering large engineering projects with meaningful, long-term impact
- Strong technical judgment and the ability to make thoughtful trade-offs across security, reliability, scalability, and developer experience
- Ability to solve complex engineering problems and collaborate effectively across security and engineering teams