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.
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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
