Position Title:Security Engineer AI Cloud
Position Type: Regular - Full-Time
Requisition ID: 43407
Overview
As part of our ongoing digital and AI transformation, we are expanding our security capabilities to securely enable AI-driven platforms, data products, and cloud-native services. The Security Engineer AI Cloud will play a critical role in protecting AI systems, cloud infrastructure, and data pipelines while enabling responsible and scalable adoption of artificial intelligence across the enterprise.
This role combines hands-on security engineering with architectural thinking, focusing on secure AI platforms, workloads, and integrations in cloud environments. The position works closely with Cloud, DevOps, Architecture, AI Data and analytics , and Engineering teams to ensure security is embedded across the AI/ML lifecycle.
Job Purpose
Reporting to the Director of Security Engineering, the AI Security Engineer is responsible for designing, implementing, and monitoring security controls for AI-enabled systems and cloud infrastructure. This role ensures AI solutions are secure by design, compliant with governance standards, and resilient against emerging threats such as data leakage, prompt manipulation, model abuse, and cloud misconfiguration.
Key Responsibilities
AI & Application Security
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Implement security controls for AI/ML platforms, including model training, fine-tuning, deployment, and inference environments
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Support secure design of AI-enabled applications, including copilots, chatbots, APIs, and agent-based workflows
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Conduct risk assessments and threat modeling for AI solutions (e.g., data leakage, misuse, prompt injection, model exposure)
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Lead the implementation of AI guardrails, monitoring, and secure access controls
Cloud & Platform Security
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Design, implement, and maintain security controls for cloud-based AI workloads across Azure, AWS, and/or GCP
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Maintain and operate Cloud Native Application Protection Platform (CNAPP) capabilities (CSPM, CWPP, workload security)
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Participate in the design and review of new cloud and AI projects to ensure security requirements are built in from inception
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Secure containerized, serverless, and data platforms supporting AI solutions
DevSecOps & Engineering Enablement
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Implement and review security controls in CI/CD pipelines, including those supporting AI and data workloads
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Partner with DevOps and Engineering teams to embed security-as-code and infrastructure-as-code controls
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Support automation of security testing, monitoring, and policy enforcement across cloud and AI environments
Threat, Risk & Operations
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Conduct cloud and AI security assessments and audits aligned with NIST, CIS, and industry best practices
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Monitor cloud and AI platforms for security events, vulnerabilities, and anomalous behavior
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Participate in incident response for cloud and AI-related security issues
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Stay current on emerging AI security threats, cloud attack techniques, and defensive technologies
Standards, Governance & Advisory
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Contribute to the development of cloud and AI security standards, patterns, and guidelines
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Provide expert guidance to technology teams on secure AI and cloud design decisions
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Support Responsible AI, data protection, and compliance initiatives in collaboration with privacy and legal teams
Measures of Success
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Secure deployment of AI and cloud solutions with reduced risk exposure
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Effective remediation of cloud and AI security vulnerabilities
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Adoption of standardized security patterns across AI-enabled platforms
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Improved collaboration between Security, Cloud, DevOps, and Data teams
Key Qualifications & Experience
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Bachelor’s degree in Computer Science, Information Security, or related field
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Demonstrated experience in cloud security engineering (Azure, AWS, GCP)
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Hands-on experience securing cloud-native applications and platforms
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Hands – on experience with AI/ML products and deployments, data pipelines, and AI-enabled applications
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Experience with CNAPP tools (e.g., Defender for Cloud)
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Knowledge of security frameworks such as NIST, CIS, and Zero Trust principles
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Experience with Infrastructure-as-Code tools (e.g., Terraform)
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Strong analytical, collaboration, and communication skills
Preferred Qualifications
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Experience securing AI, data, or analytics platforms
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Experience with AI-related security risks and governance frameworks (e.g., NIST AI RMF)
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Cloud or security certifications (e.g., Azure Security Engineer, CCSP)
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Experience integrating security into modern DevOps and data engineering environments
Leadership & Ways of Working
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Customer-focused and business-oriented mindset
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Ability to work independently while collaborating across teams
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Comfortable balancing hands-on execution with strategic security thinking
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Proactive learner, staying ahead of cloud and AI security trends
McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law.
McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to find appropriate solutions.
Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain’s Global Privacy Policy and Global Employee Privacy Policy, as applicable. McCain leverages AI in the hiring process, though all final decisions are made by humans. You can understand our approach to AI and how your personal information is being handled here.
Job Family: Information Technology
Location(s): IN - India : Haryana : Gurgaon
Company: McCain Foods(India) P Ltd
