Principal AI Architect

📣 إعلان

منذ يوم واحد

	نوع العقد	دوام كامل
	طبيعة الوظيفة	بالموقع
	الموقع	الرياض

وصف الوظيفة

About the Role

Takamol Holding is seeking a Principal AI Architect to join their team in Riyadh, Saudi Arabia. This full-time position involves leading the end-to-end AI dimension of assigned programs, from initial requirements to integration and go-live. The role requires 5-10 years of experience.

Key Responsibilities

Own the AI dimension of assigned programs from requirement interpretation through architecture, build, integration, and go-live.
Prioritize and sequence use-case roadmaps based on business value and delivery feasibility, establishing achievable delivery plans.
Act as the primary technical point of contact in stakeholder and working sessions, building and maintaining technical credibility.
Architect the data foundation (ingestion, storage, quality) necessary to support prioritized AI use cases.
Select and design the AI/ML approach for each use case, such as text classification, machine translation, retrieval and similarity search, LLM-based assistants or chatbots, forecasting, and decision-support scoring, based on business value and technical feasibility.
Design integration points into core business systems to ensure AI outputs are production-ready and directly usable in existing workflows.

Hands-On Engineering and Delivery

Build priority models and pipelines directly, and direct any shared or contracted engineering support assigned to a program.
Establish MLOps practices (versioning, CI/CD, monitoring) scaled appropriately to each program's requirements.
Validate delivered models against agreed success metrics and produce evidence for stakeholder sign-off at each milestone.

Governance and Compliance

Ensure AI components align with responsible-AI principles and data governance and privacy requirements, with built-in explainability and audit logging.
Identify and escalate technical risks, gaps, and scope trade-offs promptly to relevant stakeholders and leadership.

Stakeholder Management

Translate business and policy needs into scoped, deliverable technical work.
Communicate scope, timeline, and resourcing trade-offs clearly, recommending additional resourcing when a workstream's scale requires it.