Job Title: Cyber Security Consultant
Location: New York, NY
Duration: 12+ Months with Possible Extension
***Experience with LLMs, AI/ML
Position Overview
The Security Engineer / AI Agent Builder is responsible for designing, securing, and deploying agentic AI systems that operate safely within enterprise environments. This role blends security engineering, threat modeling, and applied AI system development-ensuring that intelligent agents operate reliably, securely, and in alignment with organizational policies.
Secure Agentic AI System Design
-architect security controls (identity, network, runtime isolation, sandboxing, policy enforcement) for agent-based AI systems.
-Develop AIspecific threat models addressing agent misbehavior, adversarial prompts, data leakage, model tampering, and supplychain risks. Evaluate thirdparty AI tools, APIs, and agent frameworks for security compliance and risk.
Build & Deploy AI Agents
-Design and implement autonomous AI agents using LLMs, APIs, orchestration frameworks, and multiagent systems.
-Build agent behavior logic including tooluse, routing, planning, fallbacks, and guardrails.
-Prototype and iterate AI agents in production, refining reliability, safety, and output quality based on realworld usage.
ProductionGrade Security Engineering
-Develop security monitoring pipelines for agent executions and automate detection of anomalous or harmful agent behavior.
-Implement secure MLOps practices-including model lineage tracking, training data protection, and integrity controls.
-Perform vulnerability assessments, penetration testing, and redteaming of AI agents and underlying infrastructure.
CrossFunctional Collaboration
-Work closely with AI research, product, engineering, cloud, and cybersecurity teams to ensure agents are performant, safe, and compliant.
-Translate business workflows into agent behaviors through scoping, discovery sessions, and requirements definition.
Standards, Governance & Best Practices
-Establish secure development standards for agentic AI systems and contribute to enterprise AI governance frameworks.
-Publish internal best practices for agent security, including promptsecurity guidelines, LLM threat mitigation, and safetooling patterns.
Required Skills & Qualifications
Technical Skills:
-8+ years in cybersecurity engineering, application security, or cloud security.
-Handson experience with LLMs, AI/ML pipelines, vector databases, orchestration frameworks (AutoGen, CrewAI, LangGraph, etc.).
-Strong programming background (Python required; Java/C++ optional).
-Expertise in threat modeling, identity & access management, secure API design, and network segmentation.
-Familiarity with adversarial ML, model robustness testing, data poisoning defenses, and model evaluation.
-Experience deploying secure workloads in AWS/Azure/Google Cloud Platform.
Preferred Skills
-Experience building autonomous agents or multiagent systems.
-Knowledge of AI governance, safety, and responsible AI frameworks.
-Background in cryptography, secure CI/CD pipelines, MLOps, and privacy preserving ML..
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