Location:
For Those Who Work At Home, OhioJob Title: Agentic AI Lead
Role Summary
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.
Key Responsibilities
1. 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
2. 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
3. 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
4. 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
5. 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
6. Performance Measurement & Continuous Improvement
- 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
Required Qualifications
Experience
- 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
Preferred Qualifications
- 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
Core Skills
- 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)
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $116,000.00 - $216,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.Please click here for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 08/14/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing [email protected].
#LI-Remote
Skills Required
- Master's in statistics, mathematics, economics, financial engineering, data science, predictive modeling, or related + at least 5 years experience OR Bachelor's + at least 6 years experience
- Advanced proficiency with Microsoft Office Suite (e.g., Excel, PowerPoint)
- Experience with SQL and NoSQL databases, relational data structures, unstructured data retrieval, archival, and ETL processes
- Advanced programming in Python, R, and/or SAS with efficient coding practices and code controls
- Understanding of and ability to leverage cloud-based and distributed computing environments
- Experience building, validating, and maintaining predictive and prescriptive models using inferential statistics and machine learning
- Experience establishing standards and best practices for data modeling, analysis methods, and data governance
- Demonstrated leadership, coaching, and strong communication skills including presenting to senior executives
- Ability to manage multiple complex projects, prioritize, and deliver to tight deadlines
KeyBank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KeyBank and has not been reviewed or approved by KeyBank.
-
Retirement Support — A dollar-for-dollar 401(k) match up to 7% of eligible pay is positioned as a standout element of the total rewards package. Additional financial programs like discounted stock purchase and banking discounts further strengthen perceived long-term value.
-
Leave & Time Off Breadth — A pooled PTO bank with amounts that scale by level and tenure is described as a meaningful benefit and a retention lever. Paid parental leave is also included, adding to the breadth of time-off support.
-
Wellbeing & Lifestyle Benefits — Wellness incentives tied to HSA contributions and company-sponsored health and wellbeing programs add tangible non-cash value. A Lifestyle Spending Account and counseling resources expand support beyond traditional medical coverage.
KeyBank Insights
What We Do
At KeyBank we’ve made a promise to our clients that they will always have a champion in us. To deliver on our promise, we’re committed to building a team of engaged employees who do the right thing for our clients and shareholders, and help them achieve financial wellness each and every day.
