Description

You will secure the design and operation of agentic AI systems.

Responsibilities

• Architect security controls for agent-based AI systems, covering identity, network, runtime isolation, and policy enforcement.
• Develop AI-specific threat models addressing agent misbehavior, adversarial prompts, and data leakage risks.
• Design and implement autonomous AI agents using LLMs, APIs, and orchestration frameworks.
• Develop security monitoring pipelines for agent executions and automate the detection of anomalous behavior.
• Establish secure development standards for agentic AI systems and contribute to AI governance frameworks.

Required Skills

• 8+ years in cybersecurity engineering, application security, or cloud security.
• Hands-on experience with LLMs, AI/ML pipelines, and orchestration frameworks (e.g., AutoGen, CrewAI, LangGraph).
• Strong programming background, specifically Python.
• Expertise in threat modeling, identity and access management, and secure API design.
• Familiarity with adversarial ML, model robustness testing, and data poisoning defenses.
• Experience deploying secure workloads in AWS, Azure, or GCP.
• Proficiency with cybersecurity engineering, application security, and cloud security principles.
• Experience with CI/CD Pipelines and MLOps practices.

Preferred Skills

• Experience building autonomous or multi-agent systems.
• Knowledge of AI governance and responsible AI frameworks.

Key Skills

Education

Bachelor's degree