Cyber AI Security & Forensic Engineer - IT & OT

We are seeking experienced Cyber AI Security & Forensic Engineers to help identify, assess, and mitigate emerging cybersecurity risks associated with Artificial Intelligence, Large Language Models (LLMs), Generative AI, and autonomoagentic AI systems., * IT Cyber AI Security & Forensic Engineer: Focused on enterprise applications, cloud environments, LLM/GenAI applications, APIs, AI agents, and application security.

• OT Cyber AI Security & Forensic Engineer: Focused on applying AI security and cybersecurity principles within Operational Technology (OT), Industrial Control Systems (ICS), SCADA, and industrial environments.

The ideal candidates will have a strong cybersecurity foundation combined with hands-on experience assessing AI/LLM applications, identifying vulnerabilities and bypass techniques, recommending security controls, and applying security frameworks such as OWASP., * Perform security testing of AI applications, LLMs, Generative AI solutions, and AI-enabled platforms to identify vulnerabilities, weaknesses, misuse cases, and potential bypass techniques.

• Conduct AI/LLM security assessments, including testing for prompt injection, jailbreaks, data leakage, insecure outputs, model manipulation, and unauthorized access.
• Evaluate AI applications and integrations for security weaknesses across APIs, data sources, tools, plugins, and external services.
• Assess agentic AI architectures and autonomous software agents to understand how agents interact with external tools, APIs, data, and enterprise systems.
• Evaluate agent permissions, tool access, authentication, authorization, and least-privilege controls.
• Identify risks associated with excessive agency, insecure tool use, indirect prompt injection, and unauthorized actions.
• Recommend secure AI and data usage practices, including data protection, access controls, secure prompts, guardrails, and responsible AI practices.
• Apply OWASP Top 10, OWASP API Security Top 10, OWASP LLM Top 10, and other applicable security standards to identify and communicate security risks.
• Perform threat modeling and security assessments for AI-enabled applications and services.
• Work with application, cloud, data, infrastructure, and cybersecurity teams to remediate identified vulnerabilities.
• Support vulnerability management, incident investigations, digital forensics, and root-cause analysis where required.
• Review logs, telemetry, application behavior, and security events to identify suspicious or malicious AI activity.
• Develop security recommendations, assessment reports, remediation plans, and technical documentation.
• Stay current with emerging AI attack techniques, LLM vulnerabilities, agentic AI risks, and AI security frameworks.

IT Position - Additional Responsibilities

• Assess security of enterprise LLM/GenAI applications, APIs, cloud services, RAG solutions, vector databases, and AI integrations.
• Test AI applications for prompt injection, jailbreaks, sensitive information disclosure, insecure output handling, and data poisoning.
• Review AI integrations with enterprise applications, SaaS platforms, APIs, and external tools.
• Evaluate cloud security controls across AWS, Azure, or Google Cloud Platform environments.
• Support application security, API security, secure SDLC, SAST/DAST, and DevSecOps initiatives.
• Analyze AI application logs and telemetry for security anomalies and potential abuse.

OT Position - Additional Responsibilities

• Apply AI and cybersecurity security practices to Operational Technology environments, including ICS, SCADA, PLC, DCS, and industrial control systems.
• Assess security risks associated with AI-enabled OT applications and autonomous systems.
• Understand OT network architecture, segmentation, remote access, industrial protocols, and OT security controls.
• Support OT incident response, threat hunting, forensic investigations, and security assessments.
• Evaluate the potential impact of AI-driven attacks or compromised AI systems on industrial environments.
• Work closely with OT engineering, controls, infrastructure, and cybersecurity teams to identify and mitigate risks.

• Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.
• Strong cybersecurity engineering, application security, penetration testing, or security assessment experience.
• Hands-on experience with AI/ML security, LLM security, Generative AI security, or AI application testing.
• Understanding of common LLM and AI vulnerabilities, attack techniques, and security controls.
• Experience with OWASP Top 10 and preferably OWASP LLM Top 10 / OWASP Agentic AI security concepts.
• Experience with threat modeling, vulnerability assessment, security testing, and risk analysis.
• Understanding of authentication, authorization, API security, data protection, and least-privilege principles.
• Experience analyzing security findings and providing practical remediation recommendations.
• Strong analytical, troubleshooting, documentation, and communication skills.