AI Architect
Core
Design and evolve complex data, event processing, and AI architectures for a highly regulated banking client project.
Role type
Senior Solutions Architect (Data & AI)
Builds
Robust, scalable, and sustainable data platforms and AI solutions for the financial sector.
Domain
Banking / Financial Services / Data Engineering / Artificial Intelligence
Deliverable
production ML models | product features | infrastructure
Required skills
Enterprise architecture design, Data architecture (Lakehouse, Warehouse), Event-driven architecture (EDA), Cloud architecture (AWS/Azure), Container orchestration (Kubernetes/OpenShift), CI/CD pipelines, Event streaming (Kafka/AMQ), Data governance (GDPR/LOPD), Observability (Prometheus/Grafana/ELK), AI/ML integration (MLOps, GenAI, RAG, XAI)
Preferred skills
Archimate, Data Mesh, NoSQL databases, Airflow, Feature Stores, NLP, Multimodal models, Fine-tuning techniques, Hybrid/Edge AI deployments
Technologies
AWS, Azure, Docker, Kubernetes, OpenShift, Jenkins, Bitbucket, Kafka, AMQ, MSK, Prometheus, Grafana, ELK, CloudWatch, Airflow, Denodo, Iceberg, Vector DBs
Responsibilities
Translate business needs into robust technical architectures, collaborate cross-functionally with development and security teams, define design patterns and technology evolution, ensure alignment with corporate standards and regulatory principles.
Seniority
Senior, hands-on IC