Job Description: 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. Job Responsibilities: Key Responsibilities / ToRs: • Design reference architectures for AI applications (RAG pipelines, agentic systems, classical ML, multilingual NLP) reused across pillar use-cases. • Review and approve solution designs from AI/ML Engineers, Data Scientists and out-sourced development partners before build begins. • Define integration standards for connecting AI systems with departmental applications, the data platform and reusable government AI capabilities. • Work with the Cloud/AI Infrastructure Architect and CISO to ensure architectures meet performance, cost, security and compliance requirements. • Maintain the Unit's technical design documentation, architecture decision records and reusable component library. Last date to apply: 12-Nov-2026