Job Description

Title: Senior GCP & AI Security Architect

Position Type: Contract

Location: Remote across USA/ Canada

As a Senior GCP & AI Security Architect , you will lead the design, implementation, and governance of security architectures across Google Cloud Platform (GCP). 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
• GCP Compliance & Governance
• AI/ML Security in GCP: Securing Vertex AI and custom models, protecting training/inference data Guarding against prompt injection, model tampering, and data leakage

Responsibilities

• Architect and implement secure GCP 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., GPT 4/4o, 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 GCP 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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