Senior AI Engineer,Security Infrastructure Job Lower Merion area,Pennsylvania USA,IT/Tech

Research and develop approaches to AI red teaming, adversarial testing, security evaluation, and robust inference
Threat model agentic AI architectures, trust boundaries, attack surfaces, privileged capabilities, and failure modes
Design adversarial evaluations for prompt injection, tool abuse, privilege escalation, data exfiltration, poisoning, and unintended agent behavior
Build automated security evaluation and regression frameworks for agents, models, tools, and infrastructure
Translate attacks and research findings into production mitigations, architectural improvements, and reusable security controls
Design secure execution environments, sandboxing, isolation mechanisms, capability boundaries, permission models, and least-privilege controls
Develop scalable AI infrastructure and services for secure model inference and agent execution
Own and improve production infrastructure across Kubernetes, AWS, networking, storage, and compute
Implement controls for IAM, secrets, network isolation, containers, and service-to-service communication
Build scalable APIs, internal platform services, and infrastructure tooling
Improve observability through structured logging, metrics, distributed tracing, dashboards, security telemetry, and automated alerting
Investigate production and security failures across models, agents, distributed systems, and infrastructure
Optimize performance, latency, and infrastructure cost while maintaining reliability and security
Track emerging attacks against LLMs and agentic systems and translate research into evaluations and defenses
Collaborate directly with engineers building the agent runtime, evaluation infrastructure, tools, and production AI systems

Requirements

U.S. Citizenship is required
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 technical 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 modern LLM and agentic systems, including model inference, context management, tool use, retrieval, and multi-step agent execution
Experience threat modeling complex systems and translating risks into engineering controls
Strong programming experience in Python and production-quality software development
Experience operating production services on Kubernetes and cloud platforms such as AWS, GCP, or Azure
Strong understanding of networking, distributed systems, containers, service orchestration, and scalable architectures
Experience designing APIs, services, asynchronous systems, and event-driven architectures
Ability to debug failures spanning application code, AI models, distributed systems, and infrastructure
Ability to move between research and engineering, validating attacks or defenses experimentally and turning results into production systems
Experience with AI agent runtimes and tool-execution environments
Experience with secure code execution sandboxes, container isolation, microVMs, or other untrusted-workload mechanisms
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…

Senior AI Engineer, Security Infrastructure