Senior AI & Automation Specialist; Hybrid Job Wilmington area,Delaware USA,IT/Tech

Position: Senior AI & Automation Specialist (Hybrid)

Work Arrangement:

*** This position is available as a hybrid position in our Wilmington, DE office.***

The Senior AI & Automation Specialist is responsible for leading the design, architecture, and delivery of enterprise AI-enabled automation solutions across The Bancorp Bank. This role integrates machine learning, natural language processing, and data-driven decisioning into enterprise workflows, enabling the evolution from task-based automation to intelligent, predictive, and decision-driven processes. This position serves as the senior technical and strategic authority for AI within the Automation program, ensuring solutions are scalable, compliant, and aligned with enterprise governance, model risk, and data management frameworks.

The role operates across business, technology, and risk functions, requiring the ability to navigate evolving priorities, translate complex concepts, and drive enterprise adoption of AI capabilities within a regulated banking environment.

At The Bancorp, we’ve spent over 20 years driving innovation in the financial services industry. As a trusted partner to businesses from startups to Fortune 500 companies, we provide the people, processes, and banking technology to help our clients succeed. Whether you’re working in Fintech Solutions, Institutional Banking, Commercial Lending, or Real Estate Bridge Lending, you’ll have the opportunity to be part of a team that’s transforming businesses with forward-thinking, tech-powered solutions.

Leads the design and architecture of enterprise AI solutions, integrating machine learning, NLP, and cognitive services into automation platforms.

Defines scalable frameworks and standards for AI-enabled automation, ensuring alignment with enterprise architecture and governance requirements.

Evaluates, selects, and implements AI technologies, tools, and vendors in accordance with risk appetite, regulatory expectations, and enterprise standards.

Drives end-to-end delivery of intelligent automation use cases, including alert triage, document intelligence, predictive exception handling, and decision support.

Partners cross-functionally with Technology, Data Science, Operations, Risk, and Compliance to operationalize AI solutions in production environments.

Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath), and cloud-based AI services.

Ensures all AI solutions meet model risk management, data governance, and regulatory compliance requirements.

Provides technical leadership and mentorship to automation team members, elevating AI literacy and solution design capabilities.

Translates business needs into scalable AI-enabled solutions with measurable operational and financial outcomes.

Supports automation pipeline governance through solution evaluation, feasibility assessment, and prioritization activities.

Drives continuous improvement of enterprise automation capabilities, introducing innovative AI applications aligned with strategic objectives.

Contributes to broader program activities including cross-functional coordination, governance support, analysis of processes and systems, and preparation of materials for decision-making forums, as needed.

Performs other duties as assigned.

No travel required.

Education / Experience Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
Combined experience in AI, machine learning, intelligent automation, or advanced analytics.
Demonstrated experience designing and deploying AI/ML solutions in enterprise or regulated environments.
Proven ability to lead complex, cross-functional technology initiatives.
Experience integrating AI capabilities into operational workflows and automation platforms.
Strong understanding of model risk, data governance, and regulatory considerations within financial services.

Preferred Qualifications

Advanced degree (Master’s or PhD) in AI, Data Science, or related discipline.
Experience with NLP, document intelligence, and predictive modeling techniques.
Hands-on experience with platforms such as UiPath, Python, Azure AI/OpenAI, or similar ecosystems.
Familiarity with enterprise AI…