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Enterprise Ai Architect; Wealth Fund, Conglomerate Level, Investment Portfolio

Job in Abu Dhabi, UAE/Dubai
Listing for: Duncan & Ross
Full Time position
Listed on 2026-02-11
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 200000 - 300000 AED Yearly AED 200000.00 300000.00 YEAR
Job Description & How to Apply Below
Position: ENTERPRISE AI ARCHITECT (WEALTH FUND, CONGLOMERATE LEVEL, INVESTMENT PORTFOLIO)

About the job ENTERPRISE AI ARCHITECT (WEALTH FUND, CONGLOMERATE LEVEL, INVESTMENT PORTFOLIO)

Role Purpose Own the end-to-end AI technology architecture for a diversified investment group, ensuring scalable, secure, and business-aligned adoption of AI across portfolio companies and corporate functions.

Key Responsibilities
  • Lead selection, evaluation, and integration of AI platforms, LLMs, MLOps tools, and data infrastructure across the group
  • Assess existing IT, cloud, and data landscapes; define target-state AI architecture
  • Design enterprise-grade AI reference architectures (data, model, integration, security)
  • Partner with investment teams, IT, digital, and portfolio leadership to align AI initiatives with value creation
  • Drive standardization, reuse, and interoperability across portfolio companies
  • Ensure scalability, performance, reliability, and cost efficiency of AI solutions
  • Establish architectural governance, documentation, and best practices
  • Evaluate emerging AI technologies for strategic adoption
  • Provide technical leadership and mentorship to AI engineers and data teams
  • Translate complex AI concepts into executive-level business language
Required Experience & Skills
  • 15+ years in architecture roles (AI, data, cloud, or enterprise platforms)
  • Proven delivery of enterprise-scale AI or advanced analytics platforms
  • Strong background in:
    Cloud (AWS, Azure, GCP)
  • Data platforms (lakehouse, streaming, feature stores)
  • MLOps / LLMOps
  • API and integration architecture
  • Experience in regulated or complex enterprise environments
  • Strong stakeholder management and executive communication
Nice to Have
  • Consulting or Big Tech background
  • Exposure to investment firms, conglomerates, or shared services models
  • Experience with GenAI governance and platform enablement

Vertical:
Technology

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