About this opportunity
Aionia Group lists this Principal Security Architect — Private AI Cloud Infrastructure opportunity in reston, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Security Architecture · Private AI Cloud · Reston / McLean, VA
Principal Security Architect
Not a traditional cloud security role. Design and secure the private cloud infrastructure used to train and operate large-scale AI systems — from GPU compute clusters and networking layers to cryptographic controls protecting sensitive models and research data.
Securing the Infrastructure Behind Advanced AI
We are partnering with a well-funded AI research organization building advanced machine learning systems that require extremely secure and resilient infrastructure. They are seeking a Principal Security Architect to lead the design of a private cloud environment used to train and operate large-scale AI systems.
“This is not a traditional cloud security role. The focus is designing and securing the infrastructure itself — at the architectural level.”
What You’ll Do
Design Secure Infrastructure Architect a private cloud environment designed to protect highly sensitive machine learning systems and datasets.
Network & Compute Isolation Develop security architecture for distributed GPU compute clusters — hardened networking, segmentation, and zero-trust communication between services.
Security Architecture Define how identity, cryptography, and infrastructure controls interact across compute, storage, and networking layers.
Threat Modeling Design systems assuming persistent adversarial pressure and build architectures that remain resilient under compromise scenarios.
Infrastructure Automation Work with platform engineering teams to implement secure infrastructure deployments using IaC and immutable infrastructure principles.
What They’re Looking For
Ideal Profile — Must-Have
Thinks about infrastructure security at the architectural level, not the tool level
Has experience securing large distributed systems at scale
Understands both defensive security and real-world attacker behavior
Enjoys solving difficult systems problems — not managing tools or processes
Technical Background
Strong candidates typically have experience with several of the following:
Linux systems security at depth
Kubernetes and container orchestration security
Cloud security architecture (AWS, GCP, or private cloud)
Hardware-rooted security — HSMs, TEEs, and confidential computing
Infrastructure automation — Terraform or Pulumi
Systems programming in Go, Rust, or similar
Technical Domain
The Organization
About the Opportunity
This role is with a confidential client operating in advanced AI research. The organization is building high-performance compute infrastructure designed to support next-generation machine learning systems.
You will work alongside world‑class engineers focused on distributed systems, machine learning infrastructure, and applied security. Selected applicants may be asked to sign an NDA prior to the interview process.
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Worksite address
reston, VA, 22090, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.