Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Bellevue, San Francisco, or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

About the Role

Lambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.

Reporting to the CISO, you'll be a principal technical leader responsible for shaping Lambda's overall security architecture, with a primary focus on Data Protection and Platform Security. Your work will define secure-by-default foundational patterns across our core AI infrastructure, hardware/GPU platform layers, multi-cloud control planes, and end-to-end data lifecycles.

You will directly impact the security posture of our high-performance computing environment by architecting robust data loss prevention (DLP), encryption at rest and in transit, key management (KMS/HSM), confidential computing, and tenant isolation models. Leveraging Lambda's hosted LLMs, you'll pioneer AI-driven security architecture capabilities—such as automated threat modeling, sensitive data discovery, and platform policy verification.

If you're excited about setting the architectural vision for data protection and platform security in the world's most demanding AI infrastructure, we want to talk.

We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for a Staff Security Architect role. Your application is not a waste of our time.

What You’ll Do

Data Protection Architecture:

Architect, design, and standardize end-to-end data protection strategy, encompassing data classification, cryptographic key management (KMS/HSM), data loss prevention (DLP), and privacy-preserving controls across customer data and AI model weights

Define data lifecycle security controls for training datasets, checkpoint storage, and model artifacts across cloud and on-premises storage layers

Drive confidential computing architectures, envelope encryption, and hardware-backed data security guarantees for high-consequence customer workloads

Establish robust zero-trust data access policies and fine-grained authorization frameworks for sensitive platform APIs and data repositories

Platform Security & Infrastructure Hardening:

Design and enforce core platform security architectures across multi-tenant GPU infrastructure, bare-metal clusters, hypervisors, and container orchestration platforms (Kubernetes)

Define strong tenant isolation, sandboxing, and secure virtualization controls to protect against cross-tenant side-channel and platform escape vulnerabilities

Conduct comprehensive threat models, architectural reviews, and risk assessments for core platform services and platform control planes

Automation & Strategic Innovation:

Prototype reference implementations and security controls in Python or Go to demonstrate secure platform integration patterns

Pioneer AI-powered architectural security capabilities leveraging Lambda's hosted LLMs for automated threat modeling, automated policy validation, and data discovery

Assess third-party vendor risks and build automated tooling to evaluate SaaS vendor security postures

Strategic Leadership & Alignment:

Partner closely with Platform, Engineering, Product, and Infrastructure leaders to embed security architecture into long-term product roadmaps