AI Security Manager
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Key skills for this role
About the Role
Define secure architectures for AI systems, lead risk assessments, and collaborate with stakeholders, requiring strong security architecture background and AI/ML understanding.
Key Skills for This Role
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Overview
- As part of Accenture s Cybersecurity practice, you will define and deliver secure architectures for AI and agentic systems across enterprise environments.
- You will work closely with client leadership to translate AI security requirements into scalable, production-ready designs, ensuring secure adoption of emerging technologies while maintaining resilience and trust.
- What you ll do
- Design end-to-end security architectures for AI/ML and agentic systems, covering data pipelines, model development and hosting, inference layers, identity, and associated security controls.
- Translate Accenture AI Security frameworks into practical, implementable architectures tailored to client environments and business needs.
- Lead threat modeling and risk assessment activities for AI workloads, defining clear mitigation strategies and secure design patterns.
- Evaluate and recommend secure AI solutions and platforms, including guardrails, runtime protection, AI security posture management (AI-SPM), model scanning, and LLM gateways.
- Provide technical leadership on engagements, setting direction for delivery teams and guiding consultants to ensure high-quality outcomes.
- Collaborate directly with client architects, security leaders, and CISOs to validate designs and support implementation into production environments.
- Contribute to shaping security strategy and architecture for AI transformation programs across industries.
- What you ll bring
- Strong background in security architecture across cloud, identity, network, and data domains, with deep expertise in at least one major cloud platform.
- Practical understanding of AI/ML systems, including common architectures and key security challenges across the lifecycle.
- Knowledge of the secure AI tooling landscape, with the ability to objectively assess and align solutions to client requirements.
- Experience leading technical workstreams and mentoring team members within complex delivery environments.
- Strong stakeholder management skills, with the ability to engage and influence senior client leaders.
- Ability to translate complex technical concepts into clear architectural guidance and actionable recommendations.
- Bonus points if you have
- Certifications in cybersecurity or cloud architecture (e.g., CISSP, CCSP, cloud security certifications).
- Hands-on experience securing LLMs, agentic systems, or AI-enabled applications.
- Experience delivering projects within the GCC region or similar markets.
About the role
You will play a key role in helping organizations operationalize secure and responsible AI , ensuring security is embedded into AI architectures from design through deployment, while enabling innovation at scale.
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