Banking AI Architect: Enterprise Agentic & RAG Leader

TEN-XER

Dubai

On-site

AED 550,000 - 850,000

Full time

4 days ago
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Job summary

TEN-XER is seeking an experienced AI Architect to lead enterprise-wide Generative AI and Agentic AI initiatives across banking systems. You will define reference architectures, reusable components and secure integration patterns for chat assistants, autonomous agents and multi-agent workflows.

You will collaborate with product, engineering, cybersecurity, data and governance teams to deliver production-grade AI capabilities, including secure API integration, token-efficient memory and robust

Qualifications

  • Bachelor's or Master's in Computer Science, Software Engineering, Information Technology or AI.
  • Relevant cloud architecture, AI engineering or security architecture certifications preferred.
  • 12+ years in software engineering/architecture with 4+ years in AI/agent architecture within banking.

Responsibilities

  • Define enterprise-wide Agentic AI architecture and governance guardrails for banking use cases.
  • Architect conversational AI and agent platforms for retail banking including payments, servicing and self-service journeys.
  • Translate requirements into scalable, secure AI solution architectures with observability and resilience.
  • Design multi-agent ecosystems with planning, orchestration, tool usage and memory management.
  • Lead architecture for RAG platforms, knowledge retrieval and grounding strategies.
  • Define token-efficient context engineering patterns to optimize latency and cost.
  • Set standards for model evaluation, guardrails, auditability and performance.
  • Create architecture documents and ARB-ready presentations for approvals.
  • Collaborate across teams to build a sustainable AI ecosystem.

Skills

AI architecture
Banking domain knowledge
LLMs
RAG systems
Agent frameworks
Azure OpenAI
AWS Bedrock
Kubernetes
Zero trust
ADR/ARB

Education

Bachelor's or Master's in CS/IT/AI

Tools

Microsoft Semantic Kernel
AutoGen
LangChain
LangGraph
Microsoft Agent Framework

Job description

TEN-XER is seeking an experienced AI Architect to lead enterprise-wide Generative AI and Agentic AI initiatives across banking systems. You will define reference architectures, reusable components and secure integration patterns for chat assistants, autonomous agents and multi-agent workflows.

You will collaborate with product, engineering, cybersecurity, data and governance teams to deliver production-grade AI capabilities, including secure API integration, token-efficient memory and robust

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