Principal Lead, AI Platform & Solutions
To lead the strategic design architecture and enterprise build-out of the bank s AI amp Agentic Platform capability ensuring it serves as a trusted scalable and governed foundation for AI-driven decisioning agentic automation and enterprise knowledge across the Group The role is pivotal in shaping how AI capability is built integrated and adopted across business units partnering with senior business and technology stakeholders to translate the bank s AI ambition into a coherent platform and solution architecture aligned with FAB s digital agentic and AI roadmap regulatory expectations and Group strategy The role combines deep technical authority on AI platform architecture with the strategic judgement and stakeholder reach required to direct enterprise AI capability across a tier-one bank
KEY RESPONSIBILITIESDefine and own the target architecture for the AI amp Agentic Platform covering the agentic runtime action gateway control plane knowledge foundation model gateway and abstraction evaluation and observability layers Set and evolve the cloud architecture for AI workloads across Azure and AWS including hybrid model serving inference economics network and identity design data residency and the build-versus-buy positioning across managed services and bank-built capabilities Lead the integration architecture between the AI Platform and the bank s core estate including core banking risk and credit systems treasury and finance platforms the enterprise data platform Azure and Cloudera enterprise APIs ESB and identity services Establish and govern the engineering architectural and AI engineering standards adopted across the AI Platform team including reference patterns agent and tool contracts runtime governance hooks evaluation discipline and integration with model risk Shape FAB s multi-year AI capability direction including build-versus-buy positioning foundation model strategy proprietary capability investment and platform evolution in response to changes in the agentic AI and regulatory landscape Partner with the Senior Platform Engineering and Architecture lead in a two-in-a-box operating model with a clear separation between platform direction target architecture and enterprise positioning this role and platform engineering execution and run-state Build enterprise AI capability across the Group through reference architectures standards communities of practice internal forums and direct mentorship of senior engineers and architects across DAAI and the wider technology function Engage business heads and their CIOs across Wholesale Banking Personal Banking Private Banking Treasury Risk and Group Finance to shape how AI is integrated into their operating models beyond individual use cases Represent the AI amp Agentic Platforms function in forums with Group Technology Enterprise Architecture Cyber Model Risk Internal Audit CBUAE and external regulators on matters of AI architecture governance and trusted agentic operations Manage strategic technology partnerships with hyperscalers foundation model providers agentic framework vendors and SI partners on terms that protect FAB s intellectual property capability and optionality Represent FAB externally in industry forums regulator working groups and peer banks contributing to the Group s thought leadership on enterprise agentic AI
REQUIREMENTSQUALIFICATIONS Technical Expertise Deep current architectural knowledge of agentic AI systems including the layered protocol stack MCP for tool access A2A for inter-agent coordination ACP and emerging agentic standards orchestration frameworks Lang Graph Google ADK Llama Index Autogen CrewAI or equivalent planning and reasoning patterns multi-agent systems evaluation observability and runtime governance Strong working knowledge of foundation model architecture and integration patterns including managed model APIs Azure AI Foundry AWS Bedrock Google Vertex AI open-weight model serving model gateway design prompt and context management RAG fine-tuning and the cost-quality-latency trade-offs across model selection Cloud architecture fluency on Azure and AWS at enterprise scale covering networking identity data…
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