Google Cloud AI Security Lead

Your Role

• Design and lead secure architectures for AI systems, LLM applications, and agentic AI on Google Cloud Platform
• Secure AI pipelines including training, inference, and autonomous agent workflows end-to-end
• Define and implement zero-trust, least-privilege, and enterprise AI security frameworks
• Lead threat modeling and risk assessments for AI-powered products and cloud-native systems
• Detect, mitigate, and prevent AI-specific threats such as prompt injection, model poisoning, and data leakage
• Drive cloud platform security across Kubernetes (GKE), serverless, APIs, IAM, and multi-cloud environments
• Establish security operations excellence by building AI-driven detection, response automation, and telemetry pipelines
• Influence cross-functional teams, mentor engineers, and embed security across product, AI/ML, and infrastructure teams

Your Skills

• 10–15+ years of experience in security engineering, cloud security, or related domains
• Deep expertise in GCP, IAM, Kubernetes, network security, and secure software development
• Strong knowledge of AI/ML security, including LLMs, AI agents, MLOps, and secure AI deployment practices
• Hands-on experience with threat detection, SIEM/SOAR, DevSecOps, and CI/CD security integration
• Proficiency in programming and scripting (Python, Go, Java) and infrastructure as code tools (Terraform)
• Experience in vulnerability management, penetration testing, CSPM/CNAPP tooling, and cloud risk governance
• Strong understanding of compliance frameworks such as NIST AI RMF, ISO 27001, SOC 2, GDPR, and EU AI Act
• Relevant certifications such as CISSP, CCSP, GCP Professional Cloud Security Engineer, or OSCP preferred

What you’ll love about working with Capgemini

• We value flexibility and support a healthy work-life balance through remote and hybrid work options.
• Career development programs and certifications in cloud technologies.
• A diverse and inclusive workplace that fosters innovation and collaboration.