Senior Google Cloud Platform & AI Security Architect

Senior Google Cloud Platform & AI Security Architect

Posted 1 day ago by 1753876068

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Negotiable
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Remote
USA
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Application Programming Interface (API) Artificial Intelligence Automation AWS Identity And Access Management (IAM) Cloud-Native Applications Cloud Computing Cloud Technology Code Injection Computer Science Continuous Integration and Continuous Delivery Cyber Incident Response Device Tracking Software DevSecOps Embedding External Auditing Google Cloud Google Cloud Platform (GCP) Google Cloud Security Infrastructure as Code (IaC) Open Source Development Reinforcement Learning Security Patterns Stakeholder Management Terraform Threat Modeling Virtual Private Cloud

Summary: The Senior Google Cloud Platform & AI Security Architect will lead the design and governance of security architectures across Google Cloud Platform, focusing on securing agentic AI systems. The role requires expertise in various Google Cloud security platforms and a strong understanding of AI security frameworks. The ideal candidate will have a background in computer science or robotics and experience in productionizing agentic AI. Responsibilities include architecting secure infrastructures, designing AI pipelines, and ensuring compliance with security standards.

Key Responsibilities:

  • Architect and implement secure Google Cloud Platform infrastructure and services, including Identity, Network, Compute, Storage, Data, and AI services.
  • Architect end-to-end agentic AI pipelines, including modules for perception, goal representation, planning, decision-making, memory, tool usage, and action execution.
  • Design multi-agent orchestration layers, managing inter-agent communication, delegation, memory sharing, and task coordination.
  • Integrate LLMs (e.g., GPT4/4o, Anthropic Claude), retrieval augmented generation, and vector databases to support conversational, research, and reasoning capabilities.
  • Build adaptive planning and learning loops, leveraging reinforcement learning, heuristic planning, and continuous feedback to optimize agent behavior.
  • Ensure secure, ethical, and trustworthy deployments, including audit logging, provenance tracking, access control, and human-in-the-loop checkpoints.
  • Define technical strategies and architecture roadmaps aligned with business goals, overseeing pilot-to-scale implementation and cross-functional stakeholder collaboration.
  • Design and maintain Google Cloud Platform security guardrails using Infrastructure-as-Code (IaC) and policy-as-code frameworks (e.g., Terraform, Google Cloud Policy Library).
  • Lead threat modeling, risk assessment, and secure design reviews for new and existing cloud-native applications.
  • Design Zero Trust architectures leveraging BeyondCorp Enterprise, IAM, IAP, and context-aware access.

Key Skills:

  • Expertise with Security Platforms: Google SCC, Chronicle, Cloud Armor, VPC SC, Forseti, Open Policy Agent (OPA), CSPM tools (Wiz, Prisma).
  • Compound AI / Hybrid Inference security: Orchestration across proprietary LLMs, in-house models, APIs into complex data and goal pipelines.
  • Agentic Security Architecture: Implement lifecycle governance, cryptographically-secured agent identity and policy enforcement (e.g., SAGA/TRiSM principles).
  • Multi-modal Agents security models: Process and fuse visual, audio, and textual inputs using VLMs and perceptual transformers.
  • Scalable Orchestration: Blueprint agents with stream/data registries, task planners, built for QoS, latency, cost.
  • Ethical & TRiSM Frameworks: Design systems embedding trust, explainability, privacy, compliant with evolving AI regulations.
  • Expertise with Agentic AI Frameworks & Orchestration Platforms: LangChain, CrewAI, Haystack, AutoGen.
  • DevSecOps, Automation and CI/CD security controls.
  • Google Cloud Platform Compliance & Governance.
  • AI/ML Security in Google Cloud Platform: Securing Vertex AI and custom models, protecting training/inference data, guarding against prompt injection, model tampering, and data leakage.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: Remote

IR35 Status: Outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Senior Google Cloud Platform & AI Security Architect

USA / Canada

Remote

Primary Skills

Automation, AI/ML, implementation, The client is seeking a Senior Google Cloud Platform & AI Security Architect to lead the design, and governance of security architectures across Google Cloud Platform, with a strong focus on securing agentic AI systems. The ideal candidate will have expertise in Google Cloud Platform security platforms (e.g., SCC, Cloud Armor, Forseti),Compound AI/Hybrid Inference security, and Agentic Security Architecture including lifecycle governance and cryptographically-secured agent identity. The role requires experience with multi-modal agents, scalable orchestration, ethical & TRiSM frameworks, and Agentic AI Frameworks like LangChain or AutoGen. Proficiency in DevSecOps, CI/CD security controls, and Google Cloud Platform Compliance & Governance is essential. They will be responsible for securing Vertex AI and custom models, protecting training/inference data,and guarding against prompt injection and model tampering. A degree in CS, or Robotics, along with a proven track record in productionizing agentic/multi-agent AI and a deep understanding of cloud-native security patterns, are key qualifications.

As a Senior Google Cloud Platform & AI Security Architect, you will lead the design, implementation, and governance of security architectures across Google Cloud Platform (Google Cloud Platform). You will lead the design, development, and securing of agentic AI systems. You will be responsible for Agentic Security Architecture: and you will implement lifecycle governance, cryptographically secured agent identity and policy enforcement (e.g., SAGA/TRiSM principles.

Required Skills

Expertise with Security Platforms: Google SCC, Chronicle, Cloud Armor, VPC SC, Forseti, Open Policy Agent (OPA), CSPM tools (Wiz, Prisma)

Compound AI / Hybrid Inference security : Orchestration across proprietary LLMs, in-house models, APIs into complex data and goal pipelines.

Agentic Security Architecture: Implement lifecycle governance, cryptographically-secured agent identity and policy enforcement (e.g., SAGA/TRiSM principles).

Multi-modal Agents security models: Process and fuse visual, audio, and textual inputs using VLMs and perceptual transformers.

Scalable Orchestration: Blueprint agents with stream/data registries, task planners, built for QoS, latency, cost.

Ethical & TRiSM Frameworks: Design systems embedding trust, explainability, privacy, compliant with evolving AI regulations

Expertise with Agentic AI Frameworks & Orchestration Platforms: LangChain, CrewAI, Haystack, AutoGen..etc.

DevSecOps, Automation and CI/CD security controls

Google Cloud Platform Compliance & Governance

AI/ML Security in Google Cloud Platform: Securing Vertex AI and custom models, protecting training/inference data Guarding against prompt injection, model tampering, and data leakage

Responsibilities

Architect and implement secure Google Cloud Platform infrastructure and services, including Identity, Network, Compute, Storage, Data, and AI services.

Architect end-to-end agentic AI pipelines, including modules for perception, goal representation, planning, decision-making, memory, tool usage, and action execution.

Design multi-agent orchestration layers, managing inter-agent communication, delegation, memory sharing, and task coordination.

Integrate LLMs (e.g., GPT4/4o, Anthropic Claude), retrieval augmented generation, and vector databases to support conversational, research, and reasoning capabilities.

Build adaptive planning and learning loops, leveraging reinforcement learning, heuristic planning, and continuous feedback to optimize agent behavior.

Ensure secure, ethical, and trustworthy deployments, including audit logging, provenance tracking, access control, and human-in-the-loop checkpoints.

Define technical strategies and architecture roadmaps aligned with business goals, overseeing pilot-to-scale implementation and cross-functional stakeholder collaboration.

Design and maintain Google Cloud Platform security guardrails using Infrastructure-as-Code (IaC) and policy-as-code frameworks (e.g., Terraform, Google Cloud Policy Library

Lead threat modeling, risk assessment, and secure design reviews for new and existing cloud-native applications.

Design Zero Trust architectures leveraging BeyondCorp Enterprise, IAM, IAP, and context-aware access.

Qualification

A degree in CS, AI/ML, Robotics, Cognitive Systems, or similar.

Proven track record in R&D or productionizing agentic/multi-agent AI.

Publications, patents, or contributions to open-source agentic frameworks are a plus.

Certifications (e.g., ADaSci s Certified Agentic AI System Architect) are beneficia

Deep understanding of cloud-native security patterns and regulatory compliance

Experience with incident response, red teaming, or threat modeling in cloud environments

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