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AI Solution Architect

1 week ago
Egypt, Saudi Arabia, India, Pakistan
Contract
Lead
Solutions Architect
Software Development
Computer Vision Docker Kubernetes LLM Machine Learning Matplotlib Microservices MLflow NumPy Pandas Python Seaborn
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CodeNinja

CodeNinja

CodeNinja Consulting Inc. is a global software development company offering Product Engineering, Bespoke Software Development, Data Analytics, AI, and Cloud services. Our mission is to tap into untapped engineering potential to solve global challenges ...

Internet Software & Services
51-250
Founded 2014
View All Jobs

Description

  • Design high-level and low-level architectures for banking AI applications.
  • Integrate modern AI applications securely with core banking systems and databases.
  • Evaluate and select LLMs, vector stores, and machine learning platforms.
  • Ensure solutions meet enterprise requirements for high availability, low latency, and scalability.
  • Embed financial regulatory compliance, risk mitigation, and data privacy into architecture decisions.
  • Partner with engineering, security, and platform teams across the full delivery lifecycle.
  • Own technical delivery from initial blueprint through production deployment.

Requirements

  • 8+ years of experience in enterprise IT, including 3+ years architecting AI solutions in banking or financial services.
  • Hands-on experience with AI and data platforms such as DataRobot, SAS Enterprise Guide, and open-source LLM frameworks.
  • Strong understanding of architecture patterns including microservices, API gateways, event-driven architecture, and secure banking cloud landing zones.
  • Proficiency with CI/CD and MLOps tools including GitLab CI/CD, Docker, Kubernetes, MLflow, and automated model testing frameworks.
  • Advanced Python skills with Pandas, NumPy, Matplotlib, Seaborn, LangChain, and LlamaIndex.
  • Strong communication skills with the ability to translate technical architecture into business-relevant terms for stakeholders.
  • Experience working in regulated financial IT environments is required.
  • Knowledge of enterprise-scale AI deployment and production operations is preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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