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

• Implement security controls for AI/ML platforms, including model training, fine-tuning, deployment, and inference environments
• Support secure design of AI-enabled applications, including copilots, chatbots, APIs, and agent-based workflows
• Conduct risk assessments and threat modeling for AI solutions (e.g., data leakage, misuse, prompt injection, model exposure)
• Lead the implementation of AI guardrails, monitoring, and secure access controls

• Design, implement, and maintain security controls for cloud-based AI workloads across Azure, AWS, and/or GCP
• Maintain and operate Cloud Native Application Protection Platform (CNAPP) capabilities (CSPM, CWPP, workload security)
• Participate in the design and review of new cloud and AI projects to ensure security requirements are built in from inception
• Secure containerized, serverless, and data platforms supporting AI solutions

• Implement and review security controls in CI/CD pipelines, including those supporting AI and data workloads
• Partner with DevOps and Engineering teams to embed security-as-code and infrastructure-as-code controls
• Support automation of security testing, monitoring, and policy enforcement across cloud and AI environments

• Conduct cloud and AI security assessments and audits aligned with NIST, CIS, and industry best practices
• Monitor cloud and AI platforms for security events, vulnerabilities, and anomalous behavior
• Participate in incident response for cloud and AI-related security issues
• Stay current on emerging AI security threats, cloud attack techniques, and defensive technologies

• Contribute to the development of cloud and AI security standards, patterns, and guidelines
• Provide expert guidance to technology teams on secure AI and cloud design decisions
• Support Responsible AI, data protection, and compliance initiatives in collaboration with privacy and legal teams

• Secure deployment of AI and cloud solutions with reduced risk exposure
• Effective remediation of cloud and AI security vulnerabilities
• Adoption of standardized security patterns across AI-enabled platforms
• Improved collaboration between Security, Cloud, DevOps, and Data teams

• Bachelor’s degree in Computer Science, Information Security, or related field
• Demonstrated experience in cloud security engineering (Azure, AWS, GCP)
• Hands-on experience securing cloud-native applications and platforms
• Hands – on experience with AI/ML products and deployments, data pipelines, and AI-enabled applications
• Experience with CNAPP tools (e.g., Defender for Cloud)
• Knowledge of security frameworks such as NIST, CIS, and Zero Trust principles
• Experience with Infrastructure-as-Code tools (e.g., Terraform)
• Strong analytical, collaboration, and communication skills

• Experience securing AI, data, or analytics platforms
• Experience with AI-related security risks and governance frameworks (e.g., NIST AI RMF)
• Cloud or security certifications (e.g., Azure Security Engineer, CCSP)
• Experience integrating security into modern DevOps and data engineering environments

• Customer-focused and business-oriented mindset
• Ability to work independently while collaborating across teams
• Comfortable balancing hands-on execution with strategic security thinking
• Proactive learner, staying ahead of cloud and AI security trends

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.

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Job Family: Information Technology

Location(s): IN - India : Haryana : Gurgaon

Company: McCain Foods(India) P Ltd