Agentic AI Lead

Key Responsibilities

• Ai Use Case Identification & Strategy
• Identify and prioritize high-impact workflows for agentic AI automation across business domains (e.g., Commercial Banking, Credit, Operations)
• Define clear value cases (efficiency, revenue lift, risk reduction)
• Build and manage the AI agent roadmap aligned with domain strategy
• Agent Design & Workflow Transformation
• Design AI agents and multi-agent systems to automate and augment business processes
• Define agent behaviors, decision logic, and escalation pathways (human-in-the-loop)
• Reimagine workflows to maximize autonomy while maintaining appropriate controls
• Partner with business leaders to redesign operating models around AI capabilities
• Cross-Functional Delivery Leadership
• Collaborate with AI Engineering, Data Science, and Product teams to translate use cases into technical solutions
• Ensure alignment between business requirements and technical implementation
• Guide prompt design, tool orchestration, and agent interaction models
• Risk, Governance & Controls
• Define and implement guardrails for AI agents (accuracy thresholds, explainability, bias mitigation)
• Partner with Model Risk Management, Compliance, and Legal to ensure adherence to regulatory standards
• Establish human oversight models, auditability, and fallback procedures for AI-driven actions
• Deployment, Adoption & Change Management
• Partner with Change Management Lead on providing advise/consultation on pilot programs and ways to scale adoption across the business
• Partner with domain team to drive behavior change to ensure effective integration of AI agents into daily workflows

Qualifications

• 8–12+ years experience in banking, consulting, product, or digital transformation roles
• Demonstrated track record and experience with AI/ML, GenAI, or automation technologies, preferably in enterprise settings
• Experience leading cross-functional initiatives involving business and technology teams
• Experience in commercial banking, credit, underwriting, or operations
• Familiarity with AI governance frameworks (model risk, responsible AI)
• Experience working in Agile / product operating models
• Background in consulting, digital transformation, or innovation roles