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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