Senior Security Engineer, AI & DevSecOps

<div class="content-intro"><p></p> <p class="x_xmsonormal" data-olk-copy-source="MessageBody"></p> <p class="x_xmsonormal" data-olk-copy-source="MessageBody">Atlas HXM is the global workforce platform built on compliance. We help companies determine how to engage each member of their workforce and then execute with accountability built in — direct Employer of Record (EOR), Agent of Record (AOR), payroll, and compliance capabilities backed by a decade of practitioner-led expertise. Recognized as a category Leader by NelsonHall and Everest Group, Atlas HXM builds Human Experience Management into everything we do, guided by our "For People, by People" principle.</p> <p class="x_xmsonormal">The future of work is borderless, and so are we. Our people are located around the globe — in the U.S., the UK, India, Colombia, China, and beyond. Diversity and belonging are not just values; they are who we are. </p> <p class="x_xmsonormal">We are also committed to making a positive impact. Through our Environment, Social, and Governance (ESG) impact initiative, we are addressing our environmental footprint and promoting social responsibility. Our impact program is central to our vision and culture, focusing on employee wellness, diversity, charitable work, and ethical corporate governance.</p> <p class="x_xmsonormal"></p></div><h2><strong>Role Overview</strong></h2> <p>We are seeking a forward-thinking Senior Security Engineer, AI & DevSecOps to help shape the future of secure AI adoption across the organization.</p> <p>As part of the Information Security team, you will build and secure the platforms, processes, and governance that enable developers and business teams to safely leverage artificial intelligence. You'll work at the intersection of AI, application security, cloud security, and DevSecOps.</p> <p>This role is ideal for someone who thrives on emerging technologies, understands how modern platforms connect through APIs and automation, and can translate security requirements into scalable, developer-friendly solutions.</p> <h2><strong>Key Responsibilities</strong></h2> <ul> <li>Design and implement secure architectures for enterprise AI platforms, AI assistants, AI APIs, and AI-enabled applications.</li> <li>Build and maintain a secure AI sandbox environment supporting experimentation and responsible AI adoption.</li> <li>Develop security guardrails for AI-assisted development, including AI-generated code, vibe coding, AI agents, and AI workflows.</li> <li>Evaluate new AI technologies and recommend secure adoption strategies based on business needs and risk.</li> <li>Integrate security throughout the Secure Software Development Lifecycle (SSDLC) using automated controls and developer-friendly workflows.</li> <li>Integrate SAST, DAST, SCA, secret scanning, IaC scanning, and cloud security scanning into CI/CD pipelines.</li> <li>Secure cloud-native applications, APIs, containers, and AI services across Azure, AWS, and GCP.</li> <li>Review AI applications, integrations, and AI-generated solutions prior to production deployment.</li> <li>Perform AI security assessments, threat modeling, and architecture reviews.</li> <li>Support vulnerability management, incident response, and threat detection involving AI platforms and cloud services.</li> <li>Support change management, configuration management, documentation, and audit evidence.</li> <li>Support ISO/IEC 27001, 27017, 27018, and future AI governance initiatives.</li> <li>Partner with engineering teams to enable secure development while minimizing friction.</li> <li>Continuously research emerging AI technologies, threats, and best practices.</li