Lead AI Products Architect

About the Role

Emdad By Elm is seeking a Lead AI Products Architect to join its AI Products Management Department in Riyadh. This full-time role involves acting as a senior hands-on AI technical leader, partnering with Product Managers to translate product intent into scalable, secure, and production-ready AI system designs. The Lead AI Products Architect will collaborate with the AI Research Team and the Delivery Team, owning the technical quality across the AI product lifecycle.

Role Context and Purpose

This position serves as the technical backbone of AI Products, ensuring solutions are measurable, reliable, and commercially viable in production. The role focuses on architecture, model performance, data readiness, and operational excellence, without replacing core Engineering or Research functions. The ideal candidate will have 5-10 years of relevant experience.

Key Responsibilities

• Own end-to-end technical architecture for AI products (GenAI, RAG, Agents, and ML), including inference services, orchestration, data pipelines, APIs, and integrations.
• Define reference architectures and reusable components such as RAG modules, evaluation frameworks, prompt/versioning, feature stores, vector DB patterns, and guardrails.
• Lead design reviews with Engineering, Platform, and Security teams to ensure scalability, resilience, cost efficiency, and maintainability.
• Define product-specific success metrics and acceptance criteria, including accuracy, groundedness, latency, cost, safety, robustness, and drift.
• Design offline and online evaluation strategies, such as A/B testing.
• Own the AI evaluation playbook, covering hallucination detection, retrieval quality, safety, jailbreak resistance, and ML metrics like precision/recall and calibration.
• Own the AI product data strategy, including sources, contracts, quality checks, lineage, governance, and privacy-by-design.
• Define data readiness gates across Proof of Concept (PoC), Minimum Viable Product (MVP), and Scale phases.
• Partner with Data Engineering on pipelines and continuous data quality monitoring.
• Specify MLOps/LLMOps requirements, including model registry, CI/CD, prompt/config versioning, observability, monitoring, and rollback strategies.
• Define runtime controls, including guardrails, policy enforcement, red-teaming, rate limiting, and audit logging.
• Act as a technical co-pilot to Product Managers, translating product requirements into system constraints and non-functional requirements.
• Identify risks early and propose pragmatic trade-offs.
• Mentor Product Managers on AI technical fundamentals.

Experience and Qualifications

Candidates should possess 5-10 years of experience in a relevant technical leadership role within AI product development. The role requires a strong understanding of AI system design, model performance evaluation, data strategy, and AI operations.

Work Environment

This is a full-time position based in Riyadh, requiring close collaboration with various technical and product teams.

Application Process

Further details regarding the application process will be provided upon inquiry. Salary for this position is not disclosed.