Senior AI Architect

📋 Description Design end-to-end AI platform architecture for ingestion, training, serving, and monitoring. Design data lakehouse on AWS with Delta Lake and Iceberg; Databricks as compute. Architect and implement a feature store with online and offline stores. Own AWS cloud infra for AI/data workloads: multi-account, EKS, GPU, storage, cost governance. Build and own the MLOps platform: tracking, automation, packaging, CI/CD, drift monitoring. Design AI services: reusable inference APIs, model serving, API gateway with auth and rate limiting. 🎯 Requirements 15+ years in data eng, software eng, and AI/ML; 3-5 years in senior architecture. Proven track record shipping production AI systems end-to-end. Hands-on data engineering: pipelines, lakehouses, feature stores. Expert AWS skills across multi-service architecture; GCP/Azure familiarity helpful. Strong software discipline with production-quality Python and SQL; distributed systems/API design. Deep understanding of AI/ML lifecycle and production-scale infra. 🎁 Benefits Work with one of the world's leading financial derivatives institutions. Competitive salary plus performance incentives. Dynamic international and fast-growing environment. Career progression within a global financial group. International community focused on innovation and long-term growth.