AI Solution Architect

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

Location
Pakistan