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Medium due to strong employer brand and metro location but niche GenAI/MLOps specialization.
Medium because GenAI and MLOps skills transfer across industries, though financial regulatory context raises specificity.
High because the JD mandates 7+ years plus specialized GenAI, MLOps, and cloud certification experience.
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Advise leadership on complex technology solutions involving applications, networks, databases, and security across multiple groups.
Lead strategy and resolution of complex challenges requiring evaluation across enterprise areas to deliver long-term, large-scale technical solutions.
Provide vision and expertise on innovative business solutions and maintain knowledge of industry best practices and new technologies.
7+ years of engineering experience or equivalent through work experience, training, military experience, or education.
Experience in engineering roles involving complex technical solutions across multiple technological domains.
Not explicitly mentioned: mandatory degrees or certifications, location restrictions, or mandatory AI-specific experience.
Not explicitly mentioned: explicit notice period requirement.
Experienced in building scalable batch and streaming data pipelines particularly for Generative AI data.
Familiar with analytics, dashboarding for AI insights, MLOps/AIOps, and AI observability frameworks.
Holds relevant cloud certifications such as Azure Data Engineer, Databricks, or Snowflake and has supported Generative AI or AI platform initiatives.