Senior Security Subject Matter Expert (AI/ML, Cloud & Security)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Security Subject Matter Expert (AI/ML, Cloud & Security) based in United States. This is a senior technical security role focused on protecting cloud-based systems and cybersecurity capabilities within demanding Federal and DoD environments. You will design and implement security controls across cloud infrastructure, security operations, and emerging AI/ML capabilities. The role combines hands-on cloud security, SOC engineering, threat detection, incident response, risk management, and secure AI development. You will work closely with engineering teams to embed security throughout the product and ML lifecycle, from architecture and development through deployment. The position also contributes to compliance, audit readiness, vulnerability management, and secure-by-design practices. It is an opportunity to shape security architecture for mission-critical systems while addressing the evolving risks associated with AI-enabled technologies. Design, implement, maintain, and continuously improve security controls across system development and operational environments. Secure AWS cloud environments using STIG- and NIST-aligned architectures, least-privilege IAM, and established cybersecurity best practices, while supporting environments involving Azure and/or Google Cloud. Perform system hardening, vulnerability scanning, security monitoring, incident response, and remediation activities using platforms such as Splunk, Security Onion, Tenable, or equivalent tools. Analyze security logs, develop detection rules and alerting content, and support forensic investigations and threat-hunting activities. Contribute to security architecture and integration for new and existing systems, including infrastructure-as-code and CI/CD deployments using technologies such as Terraform and GitLab CI/CD. Partner with engineering teams to integrate security requirements throughout AI/ML and cybersecurity product development lifecycles. Conduct security reviews of AI/ML models, pipelines, and training data, assessing model integrity, data provenance, adversarial risks, and anomaly-detection model validation. Support secure-by-design practices for AI-enabled SOC tools and cybersecurity products, including threat modeling, secure code reviews, least-privilege data access, audit logging, and human-approval controls for AI-assisted actions. Provide security oversight for patch selection and updates, training-data security and integrity, network monitoring, access controls, and AI-related system changes. Support compliance initiatives aligned with CMMC Level 2, SOC 2, ISO/IEC 27001, and applicable Federal and DoD security requirements. Contribute to security documentation, risk assessments, control assessments, audit preparation, and remediation activities. Work collaboratively with technical and security stakeholders to identify emerging threats, strengthen defensive capabilities, and improve the overall security posture of mission-critical systems. Requirements Bachelor's degree or equivalent professional experience, combined with 7+ years of relevant cybersecurity experience . Strong background in security operations, incident response, detection engineering, cloud security, or related cybersecurity disciplines. Hands-on experience securing on-premises and AWS environments, including STIG- and NIST-aligned security architectures. Practical experience with enterprise security technologies such as Splunk, Security Onion, Tenable, or comparable SIEM, monitoring, and vulnerability-management platforms. Proficiency in Python for security automation, tooling, analytics, or ML-related applications. Working knowledge of AI/ML architectures and their associated security risks, including model integrity, data poisoning, adversarial inputs, and data provenance. Strong understanding of cloud security principles, access controls, vulne