Agentic AI Lead
About The Position
The Agentic AI Lead is responsible for identifying, designing, and deploying AI-powered agents that transform business workflows across the bank. This role sits at the intersection of business, technology, and risk—owning the end-to-end lifecycle of agent-driven use cases, from opportunity identification through production deployment and adoption. The Agentic AI Lead partners closely with Product, Engineering, Risk, and Business leaders to embed AI agents into core processes (e.g., client onboarding, underwriting, sales enablement), driving measurable improvements in productivity, cycle time, and client experience.
Requirements
- 8–12+ years experience in banking, consulting, product, or digital transformation roles
- Experience leading cross-functional initiatives involving business and technology teams
- Demonstrated track record and experience with AI/ML, GenAI, or automation technologies, preferably in enterprise settings
- Model selection & evaluation (fit-for-purpose)
- Prompt orchestration & workflow composition
- Experimentation design & performance tuning
- Reliability engineering (evals, guardrails, monitoring)
- Business problem framing for AI use cases
- Complexity management (avoid over-engineering)
Nice To Haves
- 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
Responsibilities
- 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
- 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
- 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
- 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
- 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
- Track and report on key success metrics: Productivity gains, Cycle time reduction, User adoption and satisfaction, Output quality and accuracy
- Continuously refine agents based on feedback, data, and evolving business needs
Benefits
- Eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
