Ai Infrastructure Architect

Qualification: Master's degree (16 years of education) in Computer Science, Software Engineering, Artificial Intelligence or a related field from an HEC-recognized university. Preference would be given to foreign qualified candidates with proven track record. Experience: At least 8 years of software/AI engineering experience, including 3+ years in a solution or systems architecture role for production AI or large-scale software systems. Skills & Competencies: • AI/ML and LLM system design patterns (RAG, agents, fine-tuning, evaluation) • Software architecture and API design • Cloud-native architecture (AWS/Azure/GCP), containers and microservices • Security- and privacy-by-design principles • Technical documentation and design review facilitation Key Performance Indicators (KPIs): • Adoption of reference architectures and reusable components across pillar use-cases. • Reduction in architecture-related rework and integration defects.