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Wells Fargo brand and Bangalore metro increase competition, but niche Agentic AI specialization reduces applicant pool.
Role requires enterprise banking risk analytics and AI governance, so industry and domain experience strongly influence fit.
Multiple mandatory senior requirements (7+ years, expert Python, LLM/Agentic AI, GCP, governance) make screening strict.
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Own the strategy, architecture, and execution of AI modernization initiatives including platform transformation, SAS-to-Python migration, GCP cloud adoption, workflow automation, and AI-powered monitoring solutions.
Lead development of scalable capabilities for risk signal detection, complex monitoring automation, and operational efficiency across the business unit.
Define enterprise standards for Agentic AI, AI engineering, governance, and analytics architecture while influencing technology roadmaps and partnering with senior business, risk, compliance, and technology leaders.
7+ years in Analytics, Reporting, Financial Modeling, or Statistics (via work experience, training, military experience, or education).
Expert-level Python skills for AI development, analytics, automation, and scalable monitoring platforms.
Willingness to work onsite in Bangalore or Hyderabad on mid-shift (1:30 PM - 10:30 PM), Mon-Fri, with weekends off.
Experience with Agentic AI, LLMs, LLM APIs, MCP architectures, platform modernization, cloud technologies (especially GCP).
Leader with proven success driving enterprise-scale AI and analytics modernization programs across complex matrixed organizations.
Deep expertise in AI architectures, governance, NLP, risk analytics, anomaly detection, and AI-powered monitoring in large data environments.
Experienced in aligning AI strategies with senior stakeholders in business, risk, compliance, and technology and building high-performing teams and enterprise AI adoption.