Senior AI Engineer, AI Security at air

Setup: Remote
Location: Pittsburgh, Pennsylvania
Type: Full-time
Level: senior
Posted: Sep 3, 2026

Description

Air is hiring a Senior AI Engineer specializing in AI security for its Agentic AI team. The role combines applied AI research, offensive security, and production systems engineering to identify and mitigate vulnerabilities in agentic AI systems, develop automated security evaluations, secure agent execution environments, and improve infrastructure, APIs, observability, and reliability. It is a full-time position based in Pittsburgh, Pennsylvania or Arlington, Virginia, with remote work available for candidates outside those cities and up to 25% travel.

Required Skills

AI red teaming
Adversarial ML
Python
Kubernetes
AWS
Threat modeling
Security evaluation
Sandboxing
Distributed systems
APIs

Additional Information

Minimum Education: Bachelor's, Master's, or Doctorate in Computer Science, Computer Engineering, Cybersecurity, Data Science, or a related technical field, or equivalent practical experience
Required Previous Experiences: 5+ years of experience building production software, backend infrastructure, distributed systems, security systems, or AI/ML infrastructure
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
Experience threat modeling complex systems and translating risks into engineering controls
Strong Python programming and production-quality software development experience
Experience operating production services on Kubernetes and cloud platforms
Experience designing APIs, services, asynchronous systems, and event-driven architectures
Preferred Qualifications: Experience designing or securing AI agent runtimes and tool-execution environments
Experience building secure code execution sandboxes, container isolation, or microVMs
Experience with cloud security, infrastructure hardening, IAM, secrets management, network isolation, and zero-trust architectures
Experience with offensive security, penetration testing, vulnerability research, or exploit development
Experience developing automated adversarial evaluations or integrating security evaluations into CI/CD pipelines
Experience with adversarial machine learning, model robustness, or inference-time defenses
Familiarity with AI security frameworks and threat taxonomies
Experience securing RAG systems, vector stores, model gateways, or other AI infrastructure components
Experience with software supply-chain security and securing model, dependency, and container artifacts
Experience working in government, defense, or other high-security environments