Security Engineer AI Cloud

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

• 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

Cloud & Platform Security

• 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

DevSecOps & Engineering Enablement

• 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

Threat Risk & Operations

• 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

Standards Governance & Advisory

• 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

Measures of Success

• 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

Key Qualifications & Experience

• Bachelors 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

Preferred Qualifications

• 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

Leadership & Ways of Working

• 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 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 knowand 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 McCains Global Privacy Policyand 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