Senior AI Engineer, Security Infrastructure

Air, Arlington, Virginia +4

The role

We are seeking an experienced Senior AI Engineer specializing in AI security to join our Agentic AI team as we scale our agentic capabilities across all levels of the U.S. government. Over the past year, we have seen rapid adoption of our AI agent, Ace. As agents gain access to increasingly powerful tools, data, and workflows, securing these systems presents a fundamentally different set of challenges from securing traditional software.

AI security is not a solved problem. This role sits at the intersection of applied AI research, offensive security, and production systems engineering. You will identify how agentic systems can fail or be exploited, develop new approaches for detecting and mitigating those failures, and build the infrastructure necessary to deploy capable AI agents securely in adversarial environments.

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Senior AI Engineer, Security Infrastructure

Air, Arlington, Virginia +4

The role

What you will do

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, indirect prompt injection, tool abuse, privilege escalation, data exfiltration, context or memory poisoning, and unintended agent behavior.
Build automated security evaluation and regression frameworks that continuously 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.
Build and harden sandboxing and isolation mechanisms for executing agent-generated or otherwise untrusted workloads.
Design capability boundaries, permission models, and least-privilege access controls for agent tools and services.
Develop scalable AI infrastructure and services supporting secure model inference and agent execution.
Own and improve production infrastructure across Kubernetes, AWS, networking, storage, and compute.
Implement security controls around identity and access management, secrets, network isolation, containers, and service-to-service communication.
Build scalable APIs, internal platform services, and infrastructure tooling that improve developer productivity, system reliability, and security.
Improve observability across AI systems through structured logging, metrics, distributed tracing, dashboards, security telemetry, and automated alerting.
Investigate complex production and security failures across models, agents, distributed systems, and infrastructure.
Optimize performance, latency, and infrastructure cost while maintaining strong reliability and security guarantees.
Stay current with emerging attacks against LLMs and agentic systems and rapidly translate relevant research into practical evaluations and defenses.

Senior AI Engineer, Security Infrastructure

The role

Senior AI Engineer, Security Infrastructure

The role

What you will do

What you need

Qualifications

Required Skills

Nice to have

About Air

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