About the Role:

The AI Security Architect is a senior customer-facing role responsible for designing and guiding the secure implementation of AI platforms and workloads across Ooredoo’s enterprise and government client base. The role ensures that AI solutions delivered by Ooredoo are secure, compliant, and resilient tailored to meet the regulatory, operational, and risk requirements of each customer.

This role involves working directly with clients’ IT, cybersecurity, and data science teams to advise on secure architectures for AI/ML, safeguard sensitive data, and ensure compliance with local and international standards such as Q-CERT, CRA, and GDPR.

Functional Context:

This role sits within the Professional Services team and directly contributes to project acquisition and delivery. The Senior Manager leads the technical realization of AI solutions, ensuring architectural consistency, operational scalability, and compliance with local regulatory standards. The role collaborates closely with presales, delivery, and vendor teams to ensure successful execution of complex AI and infrastructure projects.

Key Responsibilities:

• Lead security design and architecture for AI/ML solutions delivered to customers across sectors such as healthcare, public sector, energy, and finance.
• Develop and present secure AI reference architectures customized to each client’s regulatory and operational environment.
• Design and implement security controls across the AI lifecycle, including model training, inference, data pipelines, and platform access.
• Ensure secure deployment of AI workloads in customer environments, whether on-premise, in hybrid infrastructure, or on public cloud platforms (Azure, AWS, GCP).
• Apply industry best practices for securing Kubernetes, containerized AI workloads, GPUs, APIs, and model endpoints.
• Work with customers to implement role-based access controls, encryption (at-rest and in-transit), audit logging, and identity federation for AI platforms.
• Support threat modeling, vulnerability assessments, and risk mitigation strategies tailored for AI workloads and data.
• Advise on model governance, explainability, and adversarial ML protection to ensure customer trust and regulatory alignment.
• Conduct workshops and technical sessions with customer security, IT, and data science teams to transfer knowledge and align on solution design.
• Collaborate with internal teams (Sales, Solution Architects, Delivery) to align customer-specific AI security designs with Ooredoo’s offerings.
• Participate in customer RFPs and proposal development, ensuring all security aspects of AI solutions are clearly addressed.
• Stay up to date with AI security research, adversarial attack vectors, and new security tooling in the AI/ML space.
• Ensure all customer solutions adhere to applicable security standards (e.g., Q-CERT, CRA, GDPR, ISO 27001, NIST).
• Act as the key security advisor during customer AI solution design, pilot deployments, and production rollouts.

Minimum Entry Qualifications:

Bachelor’s in Cybersecurity, Computer Engineering, or related fields (Master’s preferred)

Minimum Experience, Essential Knowledge & Skills:

Technical Expertise:

• Minimum 12 years of experience
• 6+ years in technical consulting, solution architecture, or infrastructure engineering.
• 4+ years’ experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management.
• Familiarity with enterprise platforms such as Azure, GCP, Oracle, and ISVs like VMware, and RedHat.
• Expertise in GPU-enabled architecture design, cloud migrations, and hybrid environments.
• Hands-on with Kubernetes, container platforms, and orchestration tools.
• Proficiency in AI/ML workflows and APIs (OpenAI, Azure AI, Hugging Face).
• Deep knowledge of networking (including InfiniBand) and security architectures in enterprise/cloud contexts.

Professional Experience:

• Experience working in or with telecom, government, or regulated industries.
• Familiarity with Qatari and regional ICT compliance standards (e.g., CRA, Q-CERT).

Excellent Analytical and Problem-Solving Skills:

Ability to identify the customer requirements and convert them into a new potential AI use case or identify an existing use case, thereby helping Customer to build the AI solution

Strong Communication and Interpersonal Skills

• Ability to collaborate effectively with various Customers and internal stakeholders and communicate complex Solutions and AI use cases clearly