AI Solution Architect
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Key skills for this role
About the Role
CodeNinja is seeking an AI Solution Architect to design scalable, secure enterprise AI systems for banking clients in Riyadh. The role requires 8+ years in enterprise IT with 3+ years architecting AI solutions in financial services, and hands-on experience with AI platforms and open-source LLM frameworks.
Key Skills for This Role
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 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
Full Job Posting
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.
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
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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