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Tier-1 bank, popular GenAI/data role with broad skills creates high applicant density.
Core data engineering and MLOps skills are transferable, though banking compliance adds moderate domain bias.
Explicit 7+ years, senior principal level, banking compliance and domain expertise raise filtering strictness.
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Advise leadership on complex technology strategies across multiple groups, focusing on applications, security, databases, and operating systems.
Lead the development of long-term, large-scale engineering solutions for enterprise-wide challenges requiring innovation and advanced analytical thinking.
Provide expert guidance and vision on implementing innovative business solutions and maintain knowledge of industry best practices to enhance operations.
7+ years of engineering experience or equivalent demonstrated through work, training, military experience, or education.
Experience with data engineering and pipeline development for Generative AI data (batch and streaming).
Experience supporting Generative AI, Machine Learning, or AI platform initiatives.
Relevant cloud certifications such as Azure Data Engineer, Databricks, or Snowflake are desired but not explicitly mandatory.
Experienced in building scalable data pipelines and analytics dashboards for Generative AI insights such as usage, performance, cost, and reliability.
Proficient in MLOps/AIOps, model monitoring, and AI observability frameworks to support AI platform initiatives.
Capable of engaging strategically with senior leadership across the enterprise and translating complex business objectives into technical engineering solutions.