Senior AI Security Architect Consultant

The team you'll be working with:
Role – SENIOR AI SECURITY ARCHITECT ARCHITECT CONSULTANT

Hybrid Variable - London or Birmingham

Overview

We are seeking an experienced Senior AI Security Architect Consultant to design, implement, and govern secure AI/ML systems across the enterprise. This role is responsible for embedding security, privacy, and trust into AI solutions—from model development and deployment to monitoring and lifecycle management. The ideal candidate will combine deep cybersecurity expertise with hands-on knowledge of AI/ML technologies, ensuring that AI systems are resilient against adversarial threats, data leakage, and misuse.

What you'll be doing:

1. AI Security Strategy & Architecture

Define and lead the AI security architecture roadmap aligned to enterprise security strategy.

Develop secure-by-design frameworks for AI/ML pipelines, including data ingestion, training, inference, and deployment.

Establish AI trust, risk, and compliance controls (e.g., explainability, fairness, robustness).

2. Threat Modelling & Risk Management

Conduct threat modelling for AI systems, identifying vulnerabilities such as:

Adversarial attacks (evasion, poisoning)
Model inversion and extraction

Data leakage and privacy risks

Define and implement risk mitigation strategies and controls.

Perform AI security risk assessments and integrate findings into governance processes.

3. Secure AI/ML Lifecycle

Integrate security into ML pipelines (MLSecOps) including CI/CD and MLOps frameworks.

Define controls for:

Secure dataset handling and lineage

Model versioning and integrity validation

Access control and secrets management

Embed automated security testing into model development pipelines.

4. Data Protection & Privacy

Ensure compliance with data protection regulations (e.g., GDPR, HIPAA where applicable).Implement privacy-preserving techniques such as:

Differential privacy

Federated learning

Data anonymization and synthetic data Define policies for sensitive data usage in AI models.

5. Security Controls for Emerging AI Risks

Design safeguards for:

Large Language Models (LLMs) and generative AI (prompt injection, hallucinations, data exfiltration)
API and model endpoint security

Implement guardrails and monitoring solutions for generative AI usage.

6. Governance, Compliance & Standards

Establish AI security standards, policies, and guidelines aligned to frameworks such as:

NIST AI Risk Management Framework ISO/IEC 27001, 23894

Support regulatory compliance and audits related to AI security.

7. Collaboration & Advisory

Partner with data scientists, ML engineers, Dev Ops, and security teams to embed security practices.

Act as a trusted advisor to business and technology stakeholders on AI-related risks.

Provide security design reviews for AI initiatives.

8. Monitoring & Incident Response

Define monitoring for model drift, anomalies, and misuse detection.

Develop playbooks for AI-related security incidents, including model compromise or data breaches.

Lead investigations involving AI system risks.

What experience you'll bring:

20+ years of experience in cybersecurity, with at least 3+ years in AI/ML security or data security.

Proven experience designing secure architectures for AI/ML systems.

Strong knowledge of:

Machine learning frameworks (Tensor Flow, PyTorch, etc.)Cloud platforms (Azure, AWS, GCP) and AI services

Identity & access management, encryption, and network security

Experience in threat modeling and risk assessment methodologies.

Bachelor’s or Master’s degree in Computer Science, Cybersecurity, AI/ML, or related field.

Preferred Qualifications

Certifications such as:

CISSP, CISM, CCSPCertified AI Security (e.g., CAISP or similar)

Experience with :

MLOps platforms (e.g., MLflow, Kubeflow)
AI red teaming and adversarial testing

Knowledge of…