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Niche senior GenAI architect with enterprise/GCC requirements reduces but doesn't eliminate candidate supply.
Requires GenAI architecture, agent orchestration, and enterprise governance, so backgrounds transfer poorly across industries.
Explicit enterprise pre-sales, deep GenAI patterns, governance, and GCC exposure create very strict shortlisting filters.
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Lead AI architecture for enterprise pre-sales through production for ministries and energy sector clients, especially in the GCC region.
Deliver and author winning AI solution architectures focusing on GenAI, agentic workflows, and orchestration within first 90 days.
Support business development efforts by carrying technical conversations in high-stakes client meetings.
7+ years of experience in architecture and pre-sales engineering roles.
Expertise in GenAI architecture, including retrieval-augmented generation (RAG), fine-tuning, agent orchestration, and cost optimization.
Familiarity with data governance, data residency, PDPL-class constraints, and security reviews.
Client-facing experience with strong technical communication skills; GCC exposure is strongly preferred.
Experienced in enterprise AI solutioning from scoping through delivery with demonstrated ability to defend and implement solutions.
Deep technical knowledge of GenAI patterns and governance in large-scale cloud environments (Azure & AWS preferred).
Comfortable engaging in technical discussions with senior business development and client stakeholders in demanding settings.