Principal AI Security Architect

You Should Have

• 10+ years in security architecture, ideally with experience in AI, HPC, or large-scale data platforms.
• Deep expertise in IAM, encryption, isolation strategies, audit logging, and network security in hybrid environments.
• Deep expertise with Security frameworks such as NIST, CIS…
• Strong understanding of AI-specific security risks: model theft, data leakage, dataset poisoning, and LLM risks.
• Experience working with cloud platforms (ex: AWS, Microsoft, GCP), container orchestration (Kubernetes, Run:AI, etc.) and multi-tenancy; including hard and soft partitioning.
• Experience leading technical workshops with customers staff up to an including C-level.
• Proven ability to work across engineering, legal, and business teams to define and communicate risk postures.
• Experience building security models, compliance plans, or technical controls documentation.
• Deep expertise with SaaS/AI (TSA, ANSSI, ENISA) regulatory requirements including GDPR, DORA, EU AI Act, & UAE compliance frameworks.
• Demonstrated ability to contribute to CxO discussions, investment cases, and board-level strategy.
• Strong presentation and influence skills—able to guide both technical teams and senior leadership.
• Industry certifications (e.g., CISSP, CCSP, CCSK) a plus but not required.

Do we need to prescribe this?

We can then add things like TSA, ANSSI, ENISA as they are more general but have have applicability to cloud, networking, AI etc

Qualifications

Job Description: Principal Ai Security Architect – Pre-Sales

Location: Uae – Travel Up To 50% Across Eu, Uk, And Middle East For Technical Design Workshops, And On-Site Infrastructure Assessments.

About Wwt

World Wide Technology (WWT) is a global technology integrator and supply chain solutions provider that brings an innovative and proven approach to how organizations around the world discover, evaluate, architect and implement technology. Through our culture of innovation, we inspire, build and deliver business results, from idea to outcome. WWT was an early investor in AI, starting to build its Data Science practice over decade ago, focusing on the advancement of Machine learning, Deep learning and Large Language Model. 

About The Role

As enterprises accelerate AI adoption, the security landscape is becoming increasingly complex—from model leakage and dataset poisoning to unauthorized inference and cross-border data governance. Organizations investing in AI infrastructure don’t just require performance—they require trust.

In this role, you will serve as the AI security domain expert within our technical pre-sales and go-to-market team. Your primary responsibility is to help customers architect and validate secure AI infrastructure—spanning deployment models, data pipelines, access control, and regulatory compliance across regions.

This role extends beyond technical execution. You’ll shape customer cyber risk postures, support board-level security strategy, and contribute to security narratives for regulatory reviews, PE/VC due diligence, and long-term planning.

You’ll work across a diverse set of stakeholders—including OEMs, hyperscalers, legal/compliance leaders, and enterprise CISOs—to bridge technical risk with business clarity. Your insights will influence AI reference architectures, global security playbooks, and the design of sovereign-ready infrastructure at scale.

Key Responsibilities

• Lead pre-sales engagements to define secure, compliant AI infrastructure for GSP customers.
• Contribute content to account team to support RFX responses (RFI,RFQ)
• Design and validate security controls across AI pipelines—data ingestion, training, inference, and audit logging.
• Define strategies for encryption, access control, model protection, and multitenancy isolation.
• Embed security into reference architectures alongside OEMs, cloud providers, and internal delivery teams.
• Advise on regulatory alignment with GDPR, NIS2, UAE privacy law, and the EU AI Act.
• Support executive briefings, investment cases, and audit readiness materials for PE/VC boards and CISOs.
• Create reusable SOW content, security patterns, and compliance templates for repeatable deployments.
• Stay current on emerging threats: adversarial ML, prompt injection, data poisoning, and LLM misuse.
• Serve as a trusted advisor to customer CISOs, CTOs, and compliance leaders on secure AI architecture.

You Should Have

• 10+ years in security architecture, ideally with experience in AI, HPC, or large-scale data platforms.
• Deep expertise in IAM, encryption, isolation strategies, audit logging, and network security in hybrid environments.
• Deep expertise with Security frameworks such as NIST, CIS…
• Strong understanding of AI-specific security risks: model theft, data leakage, dataset poisoning, and LLM risks.
• Experience working with cloud platforms (ex: AWS, Microsoft, GCP), container orchestration (Kubernetes, Run:AI, etc.) and multi-tenancy; including hard and soft partitioning.
• Experience leading technical workshops with customers staff up to an including C-level.
• Proven ability to work across engineering, legal, and business teams to define and communicate risk postures.
• Experience building security models, compliance plans, or technical controls documentation.
• Deep expertise with SaaS/AI (TSA, ANSSI, ENISA) regulatory requirements including GDPR, DORA, EU AI Act, & UAE compliance frameworks.
• Demonstrated ability to contribute to CxO discussions, investment cases, and board-level strategy.
• Strong presentation and influence skills—able to guide both technical teams and senior leadership.
• Industry certifications (e.g., CISSP, CCSP, CCSK) a plus but not required.

Do we need to prescribe this?

We can then add things like TSA, ANSSI, ENISA as they are more general but have have applicability to cloud, networking, AI etc