Principal Data-AI Engineering Architect

Vrinda Global

Riyadh

On-site

SAR 450,000 - 750,000

Full time

14 days+

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Job summary

Vrinda Global is seeking a Senior AI Principal Architect to lead the design and delivery of enterprise-scale Data & AI platforms across the group. The role covers end-to-end AI architecture, including data pipelines, lakehouse/warehouse, MLOps, LLMs, RAG, and cloud-native AI solutions on AWS, Azure, or GCP.

You will mentor engineering teams and align with business leaders while ensuring PDPL/GDPR compliance.

Qualifications

  • 10+ years of experience in Software Engineering, Data Engineering, or Enterprise Architecture.
  • 5+ years leading AI/ML architecture and enterprise AI platforms.
  • Hands-on expertise with AWS, Azure, or GCP, MLOps, LLMs, RAG, Agentic AI, vector databases, and modern data platforms.

Responsibilities

  • Lead design and delivery of enterprise-scale Data & AI platforms.
  • Define end-to-end AI architecture including data pipelines, lakehouse/warehouse, MLOps, LLMs, RAG, and Agentic AI.
  • Establish technical standards, mentor engineering teams, and work with business leaders to deliver secure, scalable AI solutions while ensuring compliance.

Skills

AI architecture leadership
Data pipelines
Cloud platforms (AWS/Azure/GCP)
MLOps & LLMs
RAG & Agentic AI
Vector databases
Production-grade AI solutions
Stakeholder collaboration

Job description

We are looking for a Senior AI Principal Architect to lead the design and delivery of enterprise-scale Data & AI platforms across our group. The role involves defining end-to-end AI architecture, including data pipelines, lakehouse/warehouse, MLOps, LLMs, RAG, Agentic AI, and cloud-native AI solutions on AWS, Azure, or GCP. You will establish technical standards, mentor engineering teams, and work closely with business leaders to deliver secure, scalable, and production-ready AI solutions while ensuring compliance with PDPL and GDPR.

Requirements:

  • 10+ years of experience in Software Engineering, Data Engineering, or Enterprise Architecture.
  • 5+ years leading AI/ML architecture and enterprise AI platforms.
  • Hands-on expertise with AWS, Azure, or GCP, MLOps, LLMs, RAG, Agentic AI, vector databases, and modern data platforms.
  • Proven experience delivering enterprise AI solutions in large, complex organizations.

Preferred Nationalities: Indian, Jordanian, Syrian, or Lebanese.

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