Job Description

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Gl obal Financial Crimes Technology is seeking a senior, business‑minded Gen AI leader to drive enterprise adoption of agentic AI use cases from strategy through execution. This role sits at the intersection of executive leadership, applied AI, and operational transformation—partnering with senior stakeholders while maintaining a deep, practical understanding of how Gen AI solutions are identified, built, tested, governed, and scaled.

This job is responsible for defining and leading the engineering approach for solutions at the program or portfolio level, to deliver significant business outcomes. Key responsibilities include continuously improving the design, quality, and reuse of the solution and delivering technology enablers that improve development efficiencies for the solution. Job expectations include familiarity with at least one area of engineering, acting as a “go to” reference across the organization, and applying knowledge to improve technical competencies through recruitment and development activities.

Responsibilities:

• Executive Engagement & Influence: Act as a trusted advisor to senior executives, translating business priorities into high‑impact Gen AI and agentic AI use cases; shape investment decisions and adoption roadmaps.
• Strategy & Portfolio Leadership: Define and manage the Gen AI use‑case portfolio, prioritizing initiatives based on value, feasibility, risk, and scalability.
• Applied Use‑Case Enablement: Maintain hands‑on familiarity with agentic workflows, orchestration patterns, and model capabilities to ensure solutions are practical, resilient, and outcome‑driven.
• End‑to‑End Delivery Oversight: Partner with product, engineering, data, risk, and compliance teams to guide use cases from ideation through proof‑of‑concept, pilot, and production.
• Governance & Responsible AI: Ensure Gen AI adoption aligns with enterprise standards for security, privacy, ethics, and regulatory compliance.
• Change & Adoption Leadership: Drive organizational readiness, stakeholder alignment, and adoption through clear communication, success metrics, and continuous feedback loops.
• Develops the engineering approach for the entire program/portfolio solution and works with Architecture, to develop/analyze/deliver the implementation of technical enablers
• Leads the planning, definition, and design of the complex features which span multiple teams and explore solution alternatives
• Creates ideas on designing complex technology and solution development approaches
• Leads the technical oversight for teams in solution development including design reviews and code within own domain
• Defines the technology tool stack for the solution within ranged of internally approved and supported technologies
• Explores state-of-the-art technologies to improve development efficiencies, quality of test/QA coverage, and release management
• Leads and is responsible for the end-to-end test strategy/creation/adherence, and the integration between teams for a program/portfolio solution

Required Qualifications

• 10+ years of job related experience required.
• Proven experience leading large‑scale technology or AI‑driven transformation initiatives.
• Strong executive presence, with the ability to influence at C‑suite and senior leadership levels.
• Deep understanding of GenAI and agentic AI concepts (e.g., orchestration, autonomy, human‑in‑the‑loop), with the credibility to engage practitioners.
• Commercially and operationally astute, able to connect AI capabilities to tangible business outcomes.
• Comfortable operating between strategy and execution in complex, regulated environments.

Desired Qualifications

• Bachelor’s degree in computer engineering/computer science or related field.
• Excellent written and communication skills .

Skills:

• Automation
• Influence
• Result Orientation
• Stakeholder Management
• Technical Strategy Development
• Application Development
• Architecture
• Business Acumen
• Risk Management
• Solution Design
• Agile Practices
• Analytical Thinking
• Collaboration
• Data Management
• Solution Delivery Process

Shift:

1st shift (United States of America)

Hours Per Week:

40