What You’ll Be Doing

As a Security Architect, you will play a key role in designing and delivering secure, scalable, and compliant architectures for our clients, with a particular focus on Google Cloud Platform (GCP) and emerging Agentic AI systems. Leveraging your strong cloud security and governance expertise, you will:

Security Architecture

• Translate business, data protection and security requirements into practical architectural designs leveraging industry frameworks (NIST, ISO 27001, CIS).
• Design and maintain cloud‑native security architectures, with deep expertise in GCP architecture, security services, and secure workload design.
• Establish secure architectural patterns and standards across cloud platforms, with specific focus on GCP IAM, VPC Service Controls, Cloud Armor, Confidential Computing, and secure workload segmentation.
• Develop security design documentation, diagrams, and rationale aligned with business and compliance requirements.
• Apply risk‑based and threat‑based approaches to recommend secure and proportionate solutions.

Agentic AI & LLM Security Architecture

You will be responsible for shaping security controls around emerging AI ecosystems, including:

• Designing security architectures for agent‑based AI systems, including orchestration frameworks, tool‑use agents, and multi‑agent workflows.
• Implementing AI/LLM security controls across:
  • Model security (input/output filtering, model guardrails)
  • Prompt security, adversarial prompt defense, prompt isolation
  • API & orchestration security, including secure agent tool use
  • Data security for vector stores, embeddings, and retrieval services
• Performing AI‑specific threat modelling, including:
  • Model extraction & poisoning
  • Hallucination‑driven risk
  • Sensitive data leakage
  • Toxic output & jailbreak attempts
• Advising on secure integration of AI with cloud environments, focusing on compliant, privacy‑aware design.

Risk & Threat Management

• Conduct comprehensive risk assessments and threat modelling for cloud and AI systems.
• Support incident response, including issues involving AI‑driven systems and automated agents.
• Provide actionable mitigation strategies for cloud and AI threats.

Stakeholder Engagement & Technical Leadership

• Provide expert guidance to clients, presenting complex cloud and AI security concepts to technical and non‑technical partners.
• Mentor teams on secure cloud design, AI security, and modern architecture practices.
• Participate in pre‑sales and contribute to delivery collateral.
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Security Policy, Standards & Governance

• Develop and implement cloud and AI security policies and standards.
• Support compliance assessments and audits, including cloud‑specific controls and emerging AI regulatory frameworks.
• Ensure alignment to governance standards such as ISO 27001, NIST 800‑53/CSF, NIS2, DORA, and industry cloud security benchmarks.

Technology Evaluation & Continuous Improvement

• Conduct cloud and AI security architecture reviews, including:
  • Cloud configuration reviews
  • GCP security posture assessments
  • AI pipeline hardening
• Evaluate and recommend security technologies for cloud, AI, identity, and data protection.
• Stay up to date with new threats, especially in LLM, agentic AI, and GCP contexts.