Staff Security Architect

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

Author technical whitepapers, architectural blueprints, and customer-facing trust documentation highlighting Lambda's platform security and data protection posture

Mentor senior engineering talent across the organization on secure design principles, platform security patterns, and threat modeling

What We Think a Candidate Needs to Demonstrate to Succeed

10+ years of total engineering experience with 5+ years specializing in security architecture, platform security, or data protection at cloud/infrastructure scale

Deep expertise in data security concepts including encryption key management (KMS/HSM), cryptographic protocols, DLP, and confidential computing primitives

Proven track record of designing multi-tenant platform security architecture across heterogeneous infrastructure (bare-metal GPU clusters, hypervisors, KVM, Kubernetes, and public cloud)

Strong technical skills in prototyping security designs and reference code in Python, Go, or similar languages

Demonstrated experience with threat modeling methodologies (STRIDE, PASTA, etc.) and security design reviews for high-consequence systems

Strong communication and stakeholder management skills, with a track record of partnering effectively with IT, Legal, and HR

Ability to balance robust enterprise security controls with employee experience and productivity

Thrives in fast-moving, high-growth startup environments where building scalable structure is required

Nice to Have

Excitement about leveraging our direct access to state-of-the-art LLMs to revolutionize enterprise security—imagine AI-assisted access reviews, automated SaaS risk assessments, and intelligent policy generation.

Experience building enterprise security and IAM programs at high-growth tech companies or cloud providers

Familiarity with compliance frameworks (SOC 2, ISO 27001, FedRAMP, HIPAA) and audit preparation

Experience implementing Infrastructure as Code (Terraform) for managing enterprise identity and SaaS configurations

Deep technical background allowing hands-on contribution when needed

Experience with both build and buy decisions for security tooling

Experience driving or providing significant evidence for compliance audits, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP.

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

Founded in 2012, with 500+ employees, and growing fast

Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove

We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

Our values are publicly available: https://lambda.ai/careers

We offer generous cash & equity compensation

Health, dental, and vision coverage for you and your dependents

Wellness and commuter stipends for select roles

401k Plan with 2% company match (USA employees)

Flexible paid time off plan that we all actually use

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.