AI Security Architect

Overview

As AI Security Architect, you will shape secure AI solutions for clients, aligning AI capabilities with cyber security needs. You’ll design architectures that defend AI systems and secure AI pipelines, enabling trusted AI investments. You will work closely with cross-functional teams to win, design, and deliver security transformation programs. This role blends identity-centric security with cutting-edge AI, offering hands-on influence across governance, risk, and technology. You join a market-leading practice that uses AI to strengthen cyber defence and secure AI at scale.

Responsibilities

• Engage with clients to identify and qualify AI-driven security opportunities
• Architect AI-powered security solutions across threat detection, SIEM/SOAR modernization, anomaly detection, incident response, and risk modelling
• Define security architectures for AI pipelines, data platforms, model registries, and inference environments
• Advise on AI for IAM—intelligent access governance, AI-driven PAM, ITDR, and governing AI identities
• Assess AI-specific risks (adversarial attacks, data poisoning, model theft, supply chain)
• Support navigation of AI regulatory landscape (EU AI Act, NIST RMF, ISO/IEC 42001) and mature governance frameworks
• Develop compelling proposals, architectures, and business cases for Accenture’s capabilities
• Build trusted relationships with senior stakeholders across security and AI domains
• Contribute to bids, pursuits, and thought leadership and go-to-market initiatives

Key requirements

• Deep security architecture experience across security operations, cyber defence, and AI/cloud environments
• Understanding of AI/ML applications in security (threat detection, analytics, anomaly detection, predictive risk modelling)
• Knowledge of securing AI systems (pipelines, MLOps, data security, registries, inference endpoints)
• Experience with AI threats and controls (adversarial robustness, data integrity, model theft, supply chain)
• Background in IAM: PAM, IGA, ITDR, machine/non-human identities governance
• Familiarity with SIEM/SOAR platforms (Microsoft Sentinel, Splunk)
• Awareness of AI governance standards (NIST AI RMF, ISO/IEC 42001, EU AI Act)
• Commercial acumen with bid/proposal support and client-facing opportunities
• Excellent communication and influencing skills for engaging senior stakeholders
• Relevant certifications (CISSP, SABSA, TOGAF, cloud security, AI/ML security) advantageous
• communication
• influencing
• stakeholder-management
• AI/ML security
• threat detection
• SIEM/SOAR modernization

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