AI Security Architect - London/Hybrid - 12-month Contract

AI Security Architect - London/Hybrid - 12-month Contract

My client, a leading global broadcating company is looking for a Security Architect with a strong foundation in security, who has spent the last 2-3 years working deeply with AI platforms, models, and ecosystems. You will be our in-house expert in assessing and designing secure AI systems-from foundational models and ML pipelines to GenAI integrations and LLM APIs.

This is a key strategic role, reporting into the Head of Security Architecture, working cross-functionally with Engineering, Data Science, Product, and Legal teams.


Key Responsibilities

  • Architect and lead secure design of AI/ML platforms, data pipelines, and GenAI integrations.

  • Conduct threat modelling and risk assessments for AI workloads and associated infrastructure.

  • Evaluate and enforce secure use of third-party AI services (e.g., OpenAI, Anthropic, Hugging Face).

  • Develop and maintain AI security standards, policies, and guardrails in collaboration with engineering and compliance.

  • Stay abreast of emerging risks in AI systems-model poisoning, prompt injection, data leakage-and translate them into practical mitigations.

  • Champion privacy-by-design and ethical AI principles across our AI product development lifecycle.

  • Support AI-related security reviews (internal and third-party) and partner with procurement/legal on AI vendor risk assessments.

  • Contribute to AI incident response playbooks and tooling for AI misuse or model compromise.


Skills & Experience

Required:

  • Proven experience as a Security Architect or similar senior security role.

  • 2-3+ years of hands-on security work related to AI/ML systems (e.g., securing LLMs, data pipelines, MLOps, GenAI tools).

  • Deep understanding of AI/ML development workflows and deployment architectures (cloud-native, on-prem, hybrid).

  • Familiarity with security risks unique to AI systems: adversarial ML, prompt injection, data privacy leakage, model integrity.

  • Strong knowledge of cloud platforms (AWS, Azure, or GCP) and containerized environments (Kubernetes, Docker).

  • Experience with Zero Trust, IAM, encryption, API security, and DevSecOps pipelines.

Desirable:

  • Understanding of AI governance, model explainability, and regulatory trends (e.g., EU AI Act, NIST AI RMF).

  • Familiarity with popular AI frameworks/tools (e.g., TensorFlow, PyTorch, LangChain, MLflow).

  • Prior experience in a regulated or content-driven industry (media, financial services, healthcare).

AI Security Architect - London/Hybrid - 12-month Contract

GCS is acting as an Employment Agency in relation to this vacancy.

Negotiable

London

Contract

Added 23/04/2025

AI Security Architect - London/Hybrid - 12-month Contract

London
Contract

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