Manager- Application & AI Security

You will keep the organization’s applications, cloud, and AI usage governed and secure-by-default, ensuring that delivery speed never outruns risk review. You will hold the central AI-governance mandate and own the DevSecOps golden pipelines, application security testing, and MCP/AI-agent runtime security, embedding guardrails as code and making safe AI adoption the default.

Key Responsibilities

• Own the secure software development lifecycle per NIST SSDF (SP 800-218) and ISO/IEC 27001:2022 A.8.25-A.8.31, including application security reviews for major releases and PaaS/SaaS application posture.
• Own Contact Center tooling Security guardrails including the agent flows, member workflows and overall platform and call center security guardrails for member experience.
• Own CI/CD golden-pipeline guardrails and pipeline/artifact integrity (SLSA), run pipeline monitoring, and manage application/pipeline PIM role assignments through the platform operated by Identity.
• Run application security testing - API security, aligned to OWASP ASVS and the OWASP Top 10 / API Security Top 10 (ISO/IEC 27001:2022 A.8.29).
• Own container/Kubernetes and IaC security scanning, threat modeling (OWASP SAMM), secure-code training, and SBOM generation for internally built applications (NIST SSDF; NTIA minimum elements).
• Own cloud tenant security guardrails at the application/PaaS layer.
• Hold the central AI-governance mandate - LLM/Copilot usage policy, local/public model governance, and data-leakage & shadow-AI controls - implementing NIST AI RMF and ISO/IEC 42001 technical controls with GRC.
• Own the AI/model inventory and AI-BOM and the model registry and approval workflow.
• Conduct prompt-injection / jailbreak testing and LLM red-teaming (OWASP Top 10 for LLM Applications; MITRE ATLAS).
• Secure MCP and AI-agent runtimes: per-tool-call authorization, guardrails, and containment.

• Bachelor’s degree in Computer Science, Cybersecurity, or a related field, or a minimum of 7 years in security.
• 5+ years in application security and/or DevSecOps, including team leadership.
• Hands-on experience building security into CI/CD pipelines (e.g., Azure DevOps, GitHub Actions, GitLab, Jenkins) as guardrails-as-code.
• Strong experience with application security testing across SAST, DAST, SCA/open-source, secrets scanning, and API security (e.g., Checkmarx, Veracode, Snyk).
• Comprehensive knowledge of API security architecture and standards such as OAuth2, OWASP, and CIS.
• Experience securing containers/Kubernetes and Infrastructure-as-Code, threat modeling, and generating SBOMs.
• Working knowledge of AI/LLM security: usage governance, prompt-injection and jailbreak testing, LLM red-teaming, and MCP/AI-agent runtime controls.
• Familiarity with AI governance frameworks such as NIST AI RMF and ISO 42001.
• Ability to translate complex technology issues into language a wide range of audiences can understand.
• CISSP or CCNP-Security required.

Preferred Qualifications

• CSSLP, CCSP, or CISM preferred.

Work Environment

This role allows for work in a general indoor office environment or working from home. The position involves using a personal computer/laptop and associated equipment. Physical requirements include sedentary work, with occasional walking and standing. Mental requirements include managing stress, making decisions under pressure, and handling multiple priorities.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

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