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
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