Senior AI Security Engineer (Remote)

Air; Arlington, Pittsburgh (VA, Allegheny County); Hybrid; USD 170,000 - 250,000; Full time

Job summary

Air seeks a Senior AI Engineer, Security Infrastructure, to advance AI security across agentic systems and production environments in the U.S. government and industry contexts.

Join the Agentic AI team to secure runtimes, evaluation infrastructure, and tooling, ensuring secure deployment of AI agents in adversarial environments. This role collaborates across Kubernetes, cloud platforms, and secure execution domains.

Qualifications

• 5+ years of experience building production software, backend infrastructure, distributed systems, security systems, or AI/ML infrastructure.
• Bachelor's, Master's, or Doctorate in Computer Science, Computer Engineering, Cybersecurity, Data Science, or a related field, or equivalent practical experience.
• Demonstrated experience in AI red teaming, adversarial machine learning, offensive security, systems security, or related security research.
• Experience evaluating AI systems beyond basic direct prompt injection attacks.
• Strong understanding of how modern LLM and agentic systems operate, including model inference, context management, tool use, retrieval, and multi-step agent execution.

Responsibilities

• Research and develop new approaches to AI red teaming, adversarial testing, security evaluation, and robust inference.
• Threat model agentic AI architectures, identifying trust boundaries, attack surfaces, privileged capabilities, and potential failure modes.
• Design adversarial evaluations targeting threats such as prompt injection, tool abuse, privilege escalation, data exfiltration, and unintended agent behavior.
• Build automated security evaluation and regression frameworks that test agents, models, tools, and infrastructure against known and emerging attacks.
• Translate successful attacks and research findings into production mitigations, architectural improvements, and reusable security controls.
• Design secure execution environments for AI agents interacting with tools, code, data, and external systems.

Skills

AI security

Python

Kubernetes

Security research

Adversarial ML

Distributed systems

API design

LLM security

Cloud platforms

Education

Bachelor's degree or higher

Tools

Docker

CI/CD

Linux

Job description

Air seeks a Senior AI Engineer, Security Infrastructure, to advance AI security across agentic systems and production environments in the U.S. government and industry contexts.

Join the Agentic AI team to secure runtimes, evaluation infrastructure, and tooling, ensuring secure deployment of AI agents in adversarial environments. This role collaborates across Kubernetes, cloud platforms, and secure execution domains.