Cyber AI Security & Forensic Engineer – IT & OT

Cyber AI Security & Forensic Engineer – IT & OT

Location: South Denver, CO

Duration: Long Term

Positions: 2 Openings – 1 IT / 1 OT

Work Arrangement: 2days Onsite -Hybrid as required by the client

Job Summary

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 autonomous/agentic AI systems.

There are two openings for this position:

• 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.

Key Responsibilities

• 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 GCP 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.

Required Qualifications

• 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.

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