Senior AI Cloud Security Engineer

Manulife • Boston, MA

1d • $107,450 - $199,550 • Hybrid

About The Position

A Senior AI Cloud Security Engineer is responsible for building, automating, and enforcing security controls across cloud infrastructure and AI platforms. This role focuses on engineering secure-by-default systems, integrating security into development workflows, and protecting enterprise AI initiatives. This job description is not a comprehensive listing of all job duties required for this role. We reserve the right to change these duties or assign additional duties at any time with or without notice.

Requirements

• Minimum 7-8 years IT industry experience
• Minimum 5+ years of experience in cloud and security engineering, with strong hands-on expertise in Azure or similar cloud platforms
• Required experience in AI Security and AI SPM, including securing AI and Generative AI systems and managing risks such as prompt injection, data leakage, and model abuse
• Proven experience with CSPM, CWP, and IaC and implementing secure cloud architectures
• Strong understanding of DevSecOps practices, including CI/CD security, SAST/DAST, IaC scanning, and automation (Python/PowerShell)
• Experience developing and enforcing security policies and policy-as-code frameworks aligned with standards like NIST, ISO, and CIS
• Knowledge of security monitoring, SIEM/SOAR, and incident response for cloud and AI environments
• Experience with security testing, threat modeling, and risk assessments
• Strong collaboration and communication skills, with the ability to work across cloud, AI, and security teams
• Hands-on Experience With AI security tools, and Understanding of LLM and AI-specific threats.

Nice To Haves

• Bachelor's degree of higher in Software Engineering or Computer Science is desired

Responsibilities

• Implement and operate AI Security Posture Management (AI SPM) solutions, including Cloud security posture management to continuously assess, detect, and remediate risks across AI and cloud environments
• Secure AI and Generative AI workloads, including model pipelines, training data, inference APIs, and LLM integrations against threats such as prompt injection, data leakage, model abuse, and adversarial attacks
• Design and implement AI SPM controls to provide visibility into AI assets, monitor model usage and access patterns, enforce security guardrails, and manage AI risks across the full lifecycle
• Embed security into CI/CD and MLOps pipelines (DevSecOps) using automated controls such as SAST/DAST, IaC scanning, secrets detection, and compliance enforcement gates
• Develop and maintain security policies and policy-as-code frameworks (e.g., Azure Policy) to enforce governance, regulatory compliance, and responsible AI usage
• Engineer monitoring, detection, and response capabilities for cloud and AI systems, integrating telemetry with SIEM/SOAR platforms for centralized visibility and automated response
• Perform security testing and validation across cloud, application, API, and AI layers, including AI-specific scenarios such as prompt injection and model misuse prior to production deployment
• Automate security operations through scripting and tooling (e.g., Python, PowerShell) to improve efficiency, scalability, and consistency of controls
• Conduct risk assessments, threat modeling, and security reviews for cloud infrastructure and AI systems to identify vulnerabilities and implement mitigation strategies
• Collaborate with AI teams, and security stakeholders to drive secure-by-design architectures and enable scalable, governed AI adoption
• Triage and analyze findings from security tools including AI SPM platforms, IaC scanners, CSPM, and vulnerability management tools, ensuring timely prioritization and remediation across cloud and AI environments
• Research and stay current on emerging security standards, AI security trends, threat vectors, and vulnerabilities, including risks specific to Generative AI, LLMs, and ML systems
• Develop, document, and disseminate security guidelines, remediation playbooks, and hardened baselines for both cloud and AI systems
• Collaborate with Penetration Testing teams to perform security assessments across cloud platforms and AI systems, including adversarial testing, prompt injection simulations, and AI misuse scenarios
• Partner with Security Operations (SOC) and Incident Response teams to ensure effectiveness of preventive, detective, and responsive controls for cloud and AI environments
• Implement and tune monitoring and detection controls for cloud infrastructure and AI systems, and support response to AI-related threats such as model abuse or data leakage
• Build and maintain automation to streamline security tasks, testing, validation workflows, and remediation processes across cloud and AI pipelines
• Configure, integrate, and maintain security tools and technologies, for AI SPM solutions, Model and Agent security solution, , ensuring comprehensive coverage across cloud and AI workloads
• Continuously evaluate and recommend proactive security improvements based on evolving cloud and AI threat landscapes, including enhancements to AI governance and security posture
• Provide guidance to engineering and AI teams on secure AI development practices, responsible AI usage, and compliance with AI governance frameworks

Benefits

• health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans
• various retirement savings plans (including pension and a global share ownership plan with employer matching contributions)
• financial education and counseling resources
• generous paid time off program in Canada includes holidays, vacation, personal, and sick days
• full range of statutory leaves of absence

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree