Senior Infrastructure Architect JOB

Role Purpose

Infrastructure Strategy And Architecture

• Develop and maintain enterprise infrastructure architectures that support current and future business and technology requirements, including AI and advanced analytics workloads.
• Define infrastructure standards, reference architectures, and technology roadmaps covering cloud, hybrid cloud, networking, storage, compute, container platforms, and AI infrastructure capabilities.
• Collaborate with Enterprise Architecture, Infrastructure, Security, Data, and Digital teams to ensure infrastructure readiness for AI initiatives.
• Evaluate and recommend infrastructure technologies, cloud services, GPU-enabled environments, and platform services that support enterprise AI adoption.
• Ensure infrastructure architectures align with security, governance, operational, and regulatory requirements.

Ai Infrastructure Enablement

• Design and govern infrastructure platforms supporting AI, Machine Learning, Generative AI, and data-intensive workloads.
• Architect GPU-enabled cloud and on-premises infrastructure to support model training, inference, and AI service deployment.
• Design scalable environments supporting Azure AI Services, Azure OpenAI, Azure Machine Learning, AI Foundry, and related AI platforms.
• Define infrastructure requirements for Retrieval-Augmented Generation (RAG), vector databases, AI assistants, and intelligent automation solutions.
• Ensure AI workloads are deployed using enterprise-grade infrastructure, security, networking, and operational standards.

Cloud And Platform Architecture

• Lead the design and implementation of cloud-native AI infrastructure solutions considering scalability, availability, security, performance, and operational efficiency.
• Drive adoption of Infrastructure as Code (IaC), automation, containerization, and platform engineering best practices.
• Provide technical guidance on Kubernetes, Docker, cloud platforms, and AI infrastructure deployment models.
• Support the evolution of DevSecOps practices to enable automated infrastructure provisioning and operational excellence.

Infrastructure Management

• Define infrastructure sizing, resource allocation, performance optimization, and cost management strategies for enterprise and AI workloads.
• Collaborate with operational teams to ensure infrastructure reliability, resilience, and service continuity.

Security, Reliability, and Performance

• Design secure infrastructure architectures that support enterprise applications and AI workloads.
• Ensure appropriate controls are implemented for identity management, network security, data protection, encryption, and workload isolation.
• Define and implement high availability, disaster recovery, backup, and business continuity strategies.
• Monitor and assess AI infrastructure performance and identify opportunities for optimization and modernization.
• Support FinOps practices and cloud cost optimization initiatives across infrastructure and AI platforms.

Shared Activity

• Ensure effective cascading of the functional strategy into business plans to ensure vertical alignment and horizontal integration with other interfacing sectional strategies.
• Lead the identification of opportunities for continuous improvement and sustainability of systems, processes and practices considering global standards, productivity improvement and cost reduction.
• Carry out any other duties and responsibilities related to the role at the request of the direct manager.
• Manage and ensure effective implementation of functional policies, procedures and controls covering all areas of assigned section activity so that all relevant procedural/legislative requirements are fulfilled while delivering a quality, cost-effective service.
• Follow all relevant departmental policies, processes, standard operating procedures, and instructions so that work is carried out in a controlled and consistent manner.
• Demonstrate compliance to organization’s values and ethics at all times to support the establishment of a value drive culture within the organization
• Contribute to the identification of opportunities for continuous improvement and sustainability of systems, processes and practices considering global standards, productivity improvement and cost reduction.

External

• Key vendors & supplies
• Government entities
• Service Provider & Consulting firms

Qualifications And Experience

• Bachelor’s Degree (master’s degree Preferred) in Computer Science, Information Security or equivalent.
• Relevant certifications such as TOGAF, Azure Solutions Architect is a plus
• Proven 5 years of experience with/in:
• + Cloud architecture and design
• + Azure Cloud experience
• + Containerization technologies such as Docker and Kubernetes

Skills

• Azure AI Services and Azure OpenAI infrastructure deployment experience.
• Kubernetes and container orchestration for AI workloads.
• AI platform hosting and operational architecture.
• Infrastructure support for Machine Learning and GenAI workloads.
• AI security and governance from an infrastructure perspective.
• FinOps for AI and cloud infrastructure.
• Proficient in security policy management and rule configurations.
• Self-motivated with a proven ability to complete work in a timely manner
• Excellent written and verbal communication skill - including appropriate stakeholder alignment
• Ability to multi-task and to prioritize work effectively
• Ability to work under own direction and high degree of initiative

March 2026