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Tier-1 brand, metro location, mid-level AI consultant title, and broad LLM/Python skillset increase candidate competition.
Core ML/AI skills transferable across industries, but enterprise banking governance increases domain specificity.
Explicit 4+ years AI requirement plus mandatory GenAI, Python, SQL, and LLM skills increases filter strictness.
Lead cross-functional teams to strategize and execute AI initiatives that address business challenges within a line of business.
Evaluate technological readiness, data availability, and resources to ensure AI solutions deliver intended benefits.
Drive AI implementation across multiple stakeholders, make key decisions during development, and collaborate with peers and managers to achieve goals.
4+ years of Artificial Intelligence experience demonstrated via work, training, military experience, or education.
Hands-on experience with Generative AI or large language models relevant to data, analytics, modeling, or decision science.
Proficiency in Python and SQL including data processing, API integration, testing, debugging, and workflow automation.
Strong communication skills particularly in technical collaboration, requirements clarification, and explaining concepts to teams and business partners.
Experienced in applying Generative AI and advanced analytics solutions in moderately complex projects with cross-functional teams.
Skilled in prototyping AI components, established implementation patterns, and technical documentation for enterprise AI systems.
Foundational understanding of responsible AI practices including model/data governance, security, privacy, quality assurance, and risk-aware execution.