Full Stack Architect - AI

Design end-to-end AI and machine learning architectures using Azure services (Azure ML, Cognitive Services, OpenAI, AKS, Event Hubs, Data Factory, Synapse).,Lead the implementation of GenAI and LLM solutions, ensuring alignment with bank-wide governance, security, and MRM standards.,Define architecture patterns, reference models, and best practices for AI development and operationalization.,Partner with data engineering teams to ensure strong data foundations, including feature stores, pipelines, and real-time data integrations.,Collaborate with security, risk, compliance, and cloud governance to ensure AI solutions meet all regulatory and policy requirements.,Support model deployment, monitoring, lifecycle management, and MLOps automation within Azure.,Provide technical leadership, mentorship, and architectural oversight across AI initiatives.,7+ years of experience in AI/ML architecture, data platforms, or cloud engineering.,Deep hands-on knowledge of Azure AI & ML ecosystem.,Strong understanding of GenAI/LLM architectures, vector databases, prompt engineering, and retrieval-augmented generation (RAG).,Experience with MLOps and productionizing models at scale.,Ability to work within highly regulated environments and apply security, compliance, and governance principles.

7+ years of experience in AI/ML architecture, data platforms, or cloud engineering.,Deep hands-on knowledge of Azure AI & ML ecosystem.,Strong understanding of GenAI/LLM architectures, vector databases, prompt engineering, and retrieval-augmented generation (RAG).,Experience with MLOps and productionizing models at scale.,Ability to work within highly regulated environments and apply security, compliance, and governance principles.,Experience in banking, financial services, or other regulated industries (Nice to Have).,Familiarity with model risk management frameworks and AI governance controls (Nice to Have).,Azure certifications (e.g., Azure Solutions Architect, Azure AI Engineer) (Nice to Have).