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AI & Machine Learning 1h ago

AI Solution Architect

IndiaIndia
PakistanPakistan
EgyptEgypt
Contract
Not Disclosed
Senior-Level

Job Description

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About the Company

Aligned with Saudi Arabia's Vision 2030, we harness the Kingdom's rapidly developing talent and technological advancements to support economic diversification and drive industry transformation through cutting-edge AI, computer vision, and automation. Our solutions are strategically designed to empower startups and enterprises with a competitive edge by leveraging local talent and infrastructure, advancing the region's human capital development. Through ethical innovation and transparency-focused partnerships, we actively contribute to the Kingdom's ambitious objectives, championing a high-tech, sustainable future.

About the Role

We are seeking an AI Solution Architect to translate complex banking business needs into scalable, secure enterprise AI system blueprints. This role owns end-to-end technical delivery — from high-level design through production deployment — while ensuring every solution aligns with the demands of a highly regulated financial IT landscape.

Key Responsibilities

  • Design high-level and low-level architectures for banking AI applications
  • Securely integrate modern AI applications with core banking systems and databases
  • Evaluate and select optimal LLMs, vector stores, and machine learning platforms
  • Ensure enterprise-grade high availability, low latency, and system scalability
  • Embed financial regulatory compliance, risk mitigation, and data privacy into every design decision
  • Partner with engineering, security, and platform teams through the full delivery lifecycle

Requirements

  • 8+ years in enterprise IT, including 3+ years architecting AI solutions specifically within banking/financial services
  • Hands-on experience with AI & data platforms: DataRobot, SAS Enterprise Guide, and open-source LLM frameworks
  • Strong grounding in architecture patterns: microservices, API gateways, event-driven architecture, secure banking cloud landing zones
  • CI/CD & MLOps proficiency: GitLab CI/CD, Docker, Kubernetes, MLflow, automated model testing frameworks
  • Advanced Python skills — Pandas, NumPy, Matplotlib, Seaborn, LangChain, LlamaIndex
  • Strong communication skills to translate technical architecture into business-relevant terms for stakeholders

Why Join Us

  • Architect enterprise-scale AI solutions inside a live banking transformation program
  • Own technical decisions from blueprint to production — real build authority, not just advisory
  • Work at the intersection of cutting-edge AI and strict financial-sector compliance
  • Be part of a forward-looking organization driving AI-led transformation in the region

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