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Security Architect
Job in
Birmingham, West Midlands, B1, England, UK
Listed on 2026-09-09
Listing for:
NTT DATA
Full Time
position Listed on 2026-09-09
Job specializations:
-
IT/Tech
Cybersecurity, Information Security & Data Protection, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
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:
- 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.
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.
- 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.
- 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
- 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.
- 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.
Required Core Profile
- Security‑first mindset — this role is primarily for a Security Architect
, not a general cloud architect. - 5+ year’s experience in information security, cloud security and architecture roles.
- Strong knowledge of security governance, risk and compliance frameworks (ISO 27001, NIST CSF/800‑53, NIS2, DORA).
- Strong communication skills and ability to work with senior stakeholders.
- Experience mentoring teams or influencing security decisions.
- Deep hands‑on experience with GCP security services and GCP security best practices.
- Experience architecting secure multi‑project setups and identity boundaries.
- Experience designing security for agent‑based AI systems and LLM‑integrated applications.
- Hands‑on experience with AI/LLM security controls (prompt security, model governance, secure APIs, orchestration security).
- AI‑specific threat modelling expertise.
- Strong cloud security background across AWS/Azure/GCP.
- Experience in…
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