AI Solution Architect

Job Description Roles & Responsibilities 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 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 Desired Candidate Profile 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 Company Industry IT - Software Services Department / Functional Area IT Software Keywords AI Solution Architect Get real-time job updates only on our App