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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Security Engineer - **Company:** GDH Consulting - **Location:** St. Louis, MO, United States (Remote available) - **Experience:** Expert - **Salary:** $166,400.0 - $183,040.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Software System Penetration Testing, Microsoft Azure, Cyber Security, Computer Programming, Continuous Integration, Data Integrity, Extract Transform Load (ETL), Python (Programming Language), Open Source Technology, Open Web Application Security, Software Engineering, Software Vulnerability Management, Scripting, Google Cloud, Cloud Platform System, Delivery Pipeline, Information Technology, Machine Learning Operations, Hardware Infrastructure - **Published:** August 1, 2026 - **Apply:** https://gdhinc.com/jobs/it-field-technician-113213/ ## About the Role * Bachelor's degree in Computer Science, Software Engineering, Information Security or related field, or equivalent practical experience. * At least 8 years of experience in security engineering, information security, or related technical disciplines, with a focus on securing AI/ML systems. * Proven experience in defining and executing enterprise security strategies, particularly around AI and machine learning security challenges. * Deep understanding of AI/ML technology workflows, architectures, and potential security risks. * Familiarity with industry security frameworks such as NIST AI RMF, MITRE ATLAS, and OWASP Top 10 for AI. * Experience securing cloud environments (AWS, Azure, GCP), containerized solutions, and hybrid/on-prem infrastructure supporting AI workloads. * Strong skills in core security principles including threat modeling, secure system design, and access control, tailored to AI/ML environments. * Practical experience with AI red-teaming, penetration testing, and threat simulation targeting AI systems (e.g., prompt injection, data poisoning). * Programming proficiency in Python or similar scripting languages for automation and security tooling development. * Hands-on experience securing AI/ML development pipelines, including CI/CD, model/data integrity validation, and automated security testing. * Exceptional ability to communicate complex security concepts clearly to technical and non-technical audiences, including leadership and clients. * Demonstrated mentoring skills and ability to serve as a senior technical advisor on AI security matters. ## Description This role involves leading the security strategy and implementation for AI/ML systems across their entire lifecycle, including data ingestion, training, deployment, and inference. The focus is on identifying and mitigating AI-specific threats, securing AI pipelines and supply chains, and ensuring compliance with relevant standards. The position requires a senior-level security professional with deep technical expertise in AI/ML security, threat modeling, and secure development practices., * Conduct threat modeling and risk assessments for AI/ML systems throughout their lifecycle, from data ingestion to deployment. * Identify, assess, and mitigate AI-specific attack vectors such as prompt injection, data poisoning, jailbreaks, adversarial examples, and unsafe agent behaviors. * Secure AI supply chains, including validation and evaluation of third-party and open-source models, and protect model provenance. * Develop and enforce AI security policies, standards, and best practices in alignment with industry frameworks such as NIST AI RMF, EU AI Act, and OWASP guidelines. * Partner with detection, response, and vulnerability management teams to extend monitoring and incident response capabilities to encompass AI-related threats. * Review and evaluate third-party AI solutions and integrations, ensuring compliance with security standards and risk mitigation. * Create controls for overseeing AI prompts, data movement, and guardrails across AI systems, and continuously monitor evolving AI threat intelligence. * Collaborate with cross-functional teams including IT, engineering, and product teams to promote secure AI adoption and implementation. * Support customer-facing teams by providing technical expertise, security guidance, and training related to AI security topics for workshops, briefings, and engagements. ## Related Videos - [JavaScript? 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