Lead AI Cloud Security Engineer

Manulife

Lead AI Cloud Security Engineer managing security controls across cloud and AI environments. Focused on integrating security into development workflows and protecting enterprise AI initiatives.

Posted 7/15/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesSenior💰 $127,330 - $181,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing security controls for cloud and AI environments, with a strong focus on AI Security Posture Management and risk mitigation strategies. Proficient in automating security operations and integrating security practices into CI/CD and MLOps pipelines.

Highest-signal resume keywords

AI Security Posture ManagementCloud Security EngineeringDevSecOps PracticesSecurity Policy DevelopmentRisk Assessment and Threat Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud Security Posture ManagementAI SecuritySAST/DASTIaC ScanningPythonPowerShellSecurity TestingThreat ModelingRisk AssessmentPolicy-as-Code Frameworks

Soft Skills

CollaborationCommunication

Tools & Technologies

AzurePRISMA AIRSMS AI DefenderAI FoundryZenitySIEMSOAR

Industry Keywords

NISTISOCISGenerative AICloud Infrastructure

Tech Stack

Tools & technologies

AzureCloudPython

About the role

Key responsibilities & impact

Design, implement, and automate security controls across cloud and AI environments, ensuring secure-by-default architecture, continuous compliance, and protection against evolving threats.
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.

Requirements

What you’ll need

Minimum 8-10+ years IT industry experience
5+ years of experience in cloud and security engineering, with strong hands-on expertise in Azure or similar cloud platforms
Must have any of the following: PRISMA AIRS, MS AI defender, AI foundry, Zenity
Required experience in AI Security and AI SPM (Security Posture Management), 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

Benefits

Comp & perks

Health insurance
Dental insurance
Mental health benefits
Vision benefits
Short- and long-term disability
Life and AD&D insurance coverage
Adoption/surrogacy and wellness benefits
Employee/family assistance plans
Retirement savings plans (including pension and 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