📌 Technical Requirements

▶15+ years in Architecture, Engineering, or Technology Leadership roles

▶Strong hands-on background in cloud, AI, and enterprise platforms

▶Proven hands-on expertise in AI/ML engineering and GenAI, MLOps, AIOps, AI Model life cycle management, Agentic System Design

▶Strong and proven technical foundation built through hands‑on engineering experience, typically progressing from roles such as system administration, software engineering, platform engineering, or DevOps into architecture roles.

▶Familiarity with security protocols and data protection standards in banking environments (e.g., OAuth2, TLS, PKI, DLP).

▶Strong working knowledge of relevant domain platforms and technologies (e.g., AWS, Azure)

▶Demonstrated experience operating within regulated, banking‑grade environments.

▶Familiarity with Enterprise Architecture frameworks (e.g., TOGAF) is a plus