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Strong employer brand, metro location, and broad GenAI plus legacy skillset create high applicant competition.
Requires financial-services domain knowledge and legacy-mainframe plus Agentic AI expertise, so background transferability is low.
Explicit 8–12 years requirement plus mandatory GenAI, legacy mainframe, and FS domain skills make filters highly strict.
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Lead legacy modernization and Agentic AI transformation initiatives for Financial Services clients in GCC, focusing on business transformation and operational efficiency.
Design and implement GenAI-powered multi-agent AI architectures with governance, compliance, and human-in-loop controls.
Drive solution architecture, client engagement, delivery leadership, pre-sales support, and team mentoring in AI-led modernization projects.
8-12 years of work experience in relevant fields.
Hands-on AI engineering experience with LLM-powered application frameworks like LangChain, LlamaIndex, CrewAI, AutoGen, or Semantic Kernel.
Experience with legacy technologies (COBOL, CICS, JCL, z/OS) and modernization approaches.
Experience in Financial Services domains such as core banking, payments, treasury, and regulatory reporting.
Senior professional capable of managing end-to-end AI-driven legacy system transformation in Financial Services for GCC clients.
Proficient in solution architecture and scalable cloud-native AI deployment with multi-stakeholder client management experience.
Experienced in leading cross-functional teams and contributing to business development in complex digital transformation projects.