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AI Enterprise Architect

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: atmaal
Full Time position
Listed on 2026-05-16
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 300000 - 400000 SAR Yearly SAR 300000.00 400000.00 YEAR
Job Description & How to Apply Below

We are seeking a highly experienced AI Enterprise Architect to lead the design, governance, and execution of enterprise-wide AI strategy and architecture. This role is responsible for aligning AI initiatives with business objectives while ensuring scalable, secure, and compliant solutions across the organization.

Department: AI & Data

Key Responsibilities:
  • Define and maintain the enterprise AI architecture blueprint
  • Establish governance frameworks, policies, and standards for AI solutions
  • Standardize model packaging, deployment, monitoring, and lifecycle management across cloud and on‑premise environments
Solution Design & Integration
  • Design and implement API‑first integration patterns connecting AI services with core systems and platforms
  • Ensure security, data privacy, and regulatory compliance are embedded in all architectural decisions
  • Stay up to date with advancements in AI/ML frameworks and cloud AI services
  • Lead proof‑of‑concept initiatives and pilot programs to evaluate feasibility and return on investment
  • Recommend adoption strategies and develop business cases for emerging technologies
Requirements &

Experience:
  • Minimum of 8 years of experience in enterprise architecture design and governance
  • At least 4 years of experience focused on AI/ML solutions
  • Minimum of 5 years leading end‑to‑end AI platform design and implementation
  • Proven experience with AI frameworks and cloud‑based AI services
  • Hands‑on experience with architecture frameworks (e.g., TOGAF or equivalent)
Qualifications:
  • Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related field
  • Master’s degree is preferred
Key

Skills:
  • AI Architecture and Governance, including model lifecycle management, risk control, bias mitigation, and audit processes
  • Security and Compliance, including Dev Sec Ops  practices, data protection, and regulatory alignment
  • Strategic leadership and stakeholder management
  • Strong communication skills with the ability to translate technical concepts into business value
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