Remote Operational Technology Cyber Security Jobs in Colorado

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Job Summary<\/b>\n
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We are seeking experienced Cyber AI Security & Forensic Engineers<\/b> to help identify, assess, and mitigate emerging cybersecurity risks associated with Artificial Intelligence, Large Language Models (LLMs), Generative AI, and autonomous\/agentic AI systems<\/b>.\n
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There are two openings for this position:\n
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• IT Cyber AI Security & Forensic Engineer:<\/b> Focused on enterprise applications, cloud environments, LLM\/GenAI applications, APIs, AI agents, and application security.\n
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• OT Cyber AI Security & Forensic Engineer:<\/b> Focused on applying AI security and cybersecurity principles within Operational Technology (OT), Industrial Control Systems (ICS), SCADA, and industrial environments<\/b>.\n
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  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<\/b>.\n
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  Key Responsibilities<\/b>\n
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  • Perform security testing of AI applications, LLMs, Generative AI solutions, and AI\-enabled platforms<\/b> to identify vulnerabilities, weaknesses, misuse cases, and potential bypass techniques.\n
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  • Conduct AI\/LLM security assessments, including testing for prompt injection, jailbreaks, data leakage, insecure outputs, model manipulation, and unauthorized access<\/b>.\n
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  • Evaluate AI applications and integrations for security weaknesses across APIs, data sources, tools, plugins, and external services.\n
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  • Assess agentic AI architectures<\/b> and autonomous software agents to understand how agents interact with external tools, APIs, data, and enterprise systems.\n
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  • Evaluate agent permissions, tool access, authentication, authorization, and least\-privilege controls.\n
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  • Identify risks associated with excessive agency, insecure tool use, indirect prompt injection, and unauthorized actions.\n
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  • Recommend secure AI and data usage practices<\/b>, including data protection, access controls, secure prompts, guardrails, and responsible AI practices.\n
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  • Apply OWASP Top 10, OWASP API Security Top 10, OWASP LLM Top 10<\/b>, and other applicable security standards to identify and communicate security risks.\n
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  • Perform threat modeling and security assessments for AI\-enabled applications and services.\n
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  • Work with application, cloud, data, infrastructure, and cybersecurity teams to remediate identified vulnerabilities.\n
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  • Support vulnerability management, incident investigations, digital forensics, and root\-cause analysis where required.\n
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  • Review logs, telemetry, application behavior, and security events to identify suspicious or malicious AI activity.\n
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  • Develop security recommendations, assessment reports, remediation plans, and technical documentation.\n
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  • Stay current with emerging AI attack techniques, LLM vulnerabilities, agentic AI risks, and AI security frameworks.\n
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    IT Position - Additional Responsibilities<\/b>\n
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    • Assess security of enterprise LLM\/GenAI applications, APIs, cloud services, RAG solutions, vector databases, and AI integrations<\/b>.\n
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    • Test AI applications for prompt injection, jailbreaks, sensitive information disclosure, insecure output handling, and data poisoning.\n
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    • Review AI integrations with enterprise applications, SaaS platforms, APIs, and external tools.\n
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    • Evaluate cloud security controls across AWS, Azure, or GCP<\/b> environments.\n
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    • Support application security, API security, secure SDLC, SAST\/DAST, and DevSecOps initiatives.\n
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    • Analyze AI application logs and telemetry for security anomalies and potential abuse.\n
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      OT Position - Additional Responsibilities<\/b>\n
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      • Apply AI and cybersecurity security practices to Operational Technology environments<\/b>, including ICS, SCADA, PLC, DCS, and industrial control systems.\n
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      • Assess security risks associated with AI\-enabled OT applications and autonomous systems.\n
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      • Understand OT network architecture, segmentation, remote access, industrial protocols, and OT security controls.\n
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      • Support OT incident response, threat hunting, forensic investigations, and security assessments.\n
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      • Evaluate the potential impact of AI\-driven attacks or compromised AI systems on industrial environments.\n
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      • Work closely with OT engineering, controls, infrastructure, and cybersecurity teams to identify and mitigate risks.\n
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        Required Qualifications<\/b>\n
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        • Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.\n
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        • Strong cybersecurity engineering, application security, penetration testing, or security assessment experience.\n
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        • Hands\-on experience with AI\/ML security, LLM security, Generative AI security, or AI application testing<\/b>.\n
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        • Understanding of common LLM and AI vulnerabilities, attack techniques, and security controls.\n
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        • Experience with OWASP Top 10<\/b> and preferably OWASP LLM Top 10 \/ OWASP Agentic AI security concepts<\/b>.\n
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        • Experience with threat modeling, vulnerability assessment, security testing, and risk analysis.\n
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        • Understanding of authentication, authorization, API security, data protection, and least\-privilege principles.\n
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        • Experience analyzing security findings and providing practical remediation recommendations.\n
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        • Strong analytical, troubleshooting, documentation, and communication skills.\n
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