Job Title: Cyber Security Consultant
Location: New York NY
Work Type: Onsite
Employment Type: Contract (C2C)
Duration: 12 Months (Possible Extension)
Work Authorization: All except H1B / OPT
About the Role:
The Cyber Security Consultant (AI Security Engineer / AI Agent Builder) will design secure and deploy enterprise-grade agentic AI systems. This role blends cybersecurity engineering AI/ML development and threat modeling to ensure autonomous AI agents operate safely securely and in alignment with enterprise governance standards.
The ideal candidate has deep cybersecurity experience along with hands-on exposure to LLMs AI/ML pipelines and AI orchestration frameworks.
Key Responsibilities:
- Architect and implement security controls for agent-based AI systems (identity IAM network segmentation sandboxing runtime isolation policy enforcement).
- Develop AI-specific threat models addressing adversarial prompts agent misbehavior data leakage model tampering and supply chain risks.
- Design and deploy autonomous AI agents using LLMs APIs vector databases and orchestration frameworks (AutoGen CrewAI LangGraph etc.).
- Build agent logic including tool use routing planning fallback strategies and guardrails.
- Implement production-grade security monitoring pipelines for agent behavior detection.
- Establish secure MLOps practices including model lineage tracking data protection and integrity controls.
- Conduct vulnerability assessments penetration testing and AI red teaming.
- Deploy secure AI workloads in AWS Azure or GCP.
- Collaborate with AI research product cloud and cybersecurity teams.
- Contribute to AI governance frameworks and enterprise best practices for prompt security and LLM threat mitigation.
Required Skills & Qualifications:
- 10 years of experience in cybersecurity engineering application security or cloud security.
- Hands-on experience with LLMs AI/ML pipelines vector databases and AI orchestration frameworks.
- Strong programming skills (Python required; Java/C preferred).
- Expertise in threat modeling IAM secure API design and network security.
- Knowledge of adversarial ML model robustness testing and data poisoning defense.
- Experience integrating third-party AI APIs securely.
- Experience implementing secure deployments in AWS/Azure/GCP.
- Strong understanding of SDLC DevSecOps and secure architecture practices.
Preferred Skills:
- Experience building autonomous or multi-agent AI systems in production.
- Knowledge of AI governance responsible AI and enterprise compliance frameworks.
- Background in cryptography secure CI/CD pipelines and advanced MLOps.
- Experience with privacy-preserving ML techniques.
- Prior experience performing AI-focused red teaming.
Job Title: Cyber Security ConsultantLocation: New York NYWork Type: OnsiteEmployment Type: Contract (C2C) Duration: 12 Months (Possible Extension) Work Authorization: All except H1B / OPT About the Role: The Cyber Security Consultant (AI Security Engineer / AI Agent Builder) will design secure and d...
Job Title: Cyber Security Consultant
Location: New York NY
Work Type: Onsite
Employment Type: Contract (C2C)
Duration: 12 Months (Possible Extension)
Work Authorization: All except H1B / OPT
About the Role:
The Cyber Security Consultant (AI Security Engineer / AI Agent Builder) will design secure and deploy enterprise-grade agentic AI systems. This role blends cybersecurity engineering AI/ML development and threat modeling to ensure autonomous AI agents operate safely securely and in alignment with enterprise governance standards.
The ideal candidate has deep cybersecurity experience along with hands-on exposure to LLMs AI/ML pipelines and AI orchestration frameworks.
Key Responsibilities:
- Architect and implement security controls for agent-based AI systems (identity IAM network segmentation sandboxing runtime isolation policy enforcement).
- Develop AI-specific threat models addressing adversarial prompts agent misbehavior data leakage model tampering and supply chain risks.
- Design and deploy autonomous AI agents using LLMs APIs vector databases and orchestration frameworks (AutoGen CrewAI LangGraph etc.).
- Build agent logic including tool use routing planning fallback strategies and guardrails.
- Implement production-grade security monitoring pipelines for agent behavior detection.
- Establish secure MLOps practices including model lineage tracking data protection and integrity controls.
- Conduct vulnerability assessments penetration testing and AI red teaming.
- Deploy secure AI workloads in AWS Azure or GCP.
- Collaborate with AI research product cloud and cybersecurity teams.
- Contribute to AI governance frameworks and enterprise best practices for prompt security and LLM threat mitigation.
Required Skills & Qualifications:
- 10 years of experience in cybersecurity engineering application security or cloud security.
- Hands-on experience with LLMs AI/ML pipelines vector databases and AI orchestration frameworks.
- Strong programming skills (Python required; Java/C preferred).
- Expertise in threat modeling IAM secure API design and network security.
- Knowledge of adversarial ML model robustness testing and data poisoning defense.
- Experience integrating third-party AI APIs securely.
- Experience implementing secure deployments in AWS/Azure/GCP.
- Strong understanding of SDLC DevSecOps and secure architecture practices.
Preferred Skills:
- Experience building autonomous or multi-agent AI systems in production.
- Knowledge of AI governance responsible AI and enterprise compliance frameworks.
- Background in cryptography secure CI/CD pipelines and advanced MLOps.
- Experience with privacy-preserving ML techniques.
- Prior experience performing AI-focused red teaming.
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