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Google Cloud AI Security Lead - Capgemini
Software Engineer
Lead the design and implementation of secure AI architectures on Google Cloud, protecting LLMs and autonomous agents through zero‑trust, least‑privilege principles and end‑to‑end pipeline security.
About the role
Key Responsibilities
- Design and lead secure architectures for AI systems, LLM applications, and agentic AI on Google Cloud Platform.
- Secure AI pipelines, covering training, inference, and autonomous agent workflows end‑to‑end.
- Define and implement zero‑trust, least‑privilege security models across all AI services.
- Collaborate with cross‑functional teams to integrate security controls into CI/CD pipelines and DevOps practices.
- Conduct threat modeling, risk assessments, and security reviews for AI workloads.
- Provide guidance and mentorship on AI security best practices to engineering and product teams.
Requirements
- Extensive experience with Google Cloud Platform services (AI Platform, Vertex AI, Cloud IAM, VPC, Cloud Armor).
- Deep knowledge of AI security, including LLM safety, data protection, and secure model deployment.
- Proficiency in zero‑trust architecture, least‑privilege access control, and secure coding practices.
- Strong background in designing secure pipelines and automating security checks in CI/CD.
- Excellent communication skills and ability to translate complex security concepts to technical and non‑technical stakeholders.
Skills
mlopsllmpythonjavagcpkubernetesterraformpenetration testing