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.