AI Researcher Jobs in Delaware
AI Researcher jobs in Delaware are concentrated in Wilmington, Newark, and Dover, where employers in financial services, life sciences, and government contracting consistently recruit for machine learning, natural language processing, and computer vision specializations. Major organizations with a lasting Delaware presence, including JPMorgan Chase, DuPont, and AstraZeneca, maintain AI research functions that range from junior research engineer to senior scientist. Delaware's position as a corporate registration hub also means several technology-forward firms maintain research teams here. See the openings below and apply to the ones that match your experience.
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Position Summary
The Director AI Strategy & Intelligent Automation role is responsible for establishing and leading the enterprise strategy, roadmap, governance, and delivery of AI-enabled automation capabilities across The Bancorp. This role advances the organization from task-based automation to intelligent, predictive, and decision-driven operating models by applying artificial intelligence, machine learning, natural language processing, document intelligence, generative AI, agentic workflows, and data-driven decision making to high-value business processes.
This position serves as the enterprise leader and executive sponsor for AI within the Automation program, ensuring that solutions are scalable, secure, measurable, compliant, and aligned with enterprise architecture, model risk management, data governance, information security, vendor risk, and regulatory expectations. The role operates across business, technology, operations, risk, compliance, legal, and data functions, requiring strong executive influence, strategic planning, portfolio leadership, change management, and the ability to translate emerging AI capabilities into practical business outcomes within a regulated banking environment.
Key Responsibilities
- Owns the enterprise AI and intelligent automation strategy, roadmap, and operating model in alignment with business priorities, risk appetite, regulatory expectations, and enterprise transformation objectives.
- Leads prioritization of AI-enabled automation opportunities through intake governance, feasibility assessment, business case development, funding alignment, benefits estimation, and executive decision-making forums.
- Provides executive leadership for the design, architecture, and delivery of enterprise AI solutions that integrate machine learning, NLP, document intelligence, cognitive services, generative AI, and decisioning capabilities into business workflows.
- Oversees a portfolio of intelligent automation use cases, including alert triage, document intelligence, predictive exception handling, decision support, knowledge assistants, workflow orchestration, and agentic AI-enabled process improvement.
- Partners cross-functionally with Technology, Data Science, Operations, Risk, Compliance, Legal, Information Security, Financial Crimes, and business leaders to operationalize AI solutions in production environments.
- Establishes enterprise standards, reusable frameworks, controls, and best practices for AI model integration, orchestration with RPA platforms, cloud-based AI services, APIs, LLM-enabled capabilities, and scalable automation delivery.
- Ensures AI solutions meet responsible AI, model risk management, data governance, privacy, cybersecurity, auditability, third-party risk, and regulatory compliance requirements.
- Evaluates, selects, and governs AI technologies, automation platforms, implementation partners, and vendors in accordance with enterprise architecture, procurement, legal, risk, and compliance standards.
- Defines performance metrics, value realization methods, and executive reporting to measure productivity improvement, risk reduction, cycle-time improvement, cost optimization, quality enhancement, and adoption of AI-enabled solutions.
- Builds, develops, and leads a high-performing AI and automation capability, providing direction, mentorship, talent development, and accountability for delivery quality and organizational readiness.
- Advances AI literacy, adoption, and change management across the enterprise by translating complex technical concepts into practical business value, controls, and implementation plans.
- Represents the Automation program in governance forums, executive updates, audit or regulatory reviews, vendor assessments, strategic planning activities, and cross-functional decision-making forums, as needed.
- Performs other duties as assigned.
Qualification Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, Business, Information Systems, or related field, or equivalent experience.
- 12+ years of experience in AI, intelligent automation, technology strategy, digital transformation, data science, advanced analytics, or related enterprise technology functions.
- 5+ years of leadership experience managing cross-functional teams, enterprise technology portfolios, transformation programs, or AI/automation delivery capabilities.
- Demonstrated experience defining enterprise strategy, governance, roadmaps, operating models, and measurable outcomes for AI, automation, analytics, or technology-enabled transformation initiatives.
- Proven ability to influence senior executives and lead complex initiatives across business, technology, data, risk, compliance, legal, information security, and operations stakeholders.
- Strong understanding of AI/ML, generative AI, NLP, intelligent automation, workflow orchestration, cloud-based AI services, data governance, model risk management, and regulatory considerations within financial services.
- Advanced degree, such as a Master’s degree or PhD, in AI, Data Science, Computer Science, Engineering, Business, or related discipline, preferred.
- Experience building, leading, or scaling an enterprise AI, intelligent automation, digital transformation, innovation, or AI Center of Excellence capability, preferred.
- Experience operating within banking, sponsor banking, fintech, payments, lending, financial crimes, compliance, or other regulated financial services environments, preferred.
- Familiarity with platforms and technologies such as UiPath, Python, Azure AI/OpenAI, cloud AI services, APIs, RAG, LLMOps, MLOps, document intelligence, predictive modeling, and agentic AI workflows, preferred.
- Experience establishing responsible AI governance, model lifecycle management, risk controls, production monitoring, auditability, and human-in-the-loop oversight for AI-enabled processes, preferred.
- Experience evaluating AI vendors, automation platforms, implementation partners, third-party risk considerations, commercial models, and enterprise technology investment decisions, preferred.
- Exceptional executive communication, stakeholder engagement, facilitation, and presentation skills with the ability to translate technical capabilities into business impact, preferred.
- Demonstrated ability to drive change management, adoption, training, and organizational readiness for AI-enabled transformation in evolving program structures, preferred.
- Strong business judgment, strategic thinking, and execution discipline with the ability to balance innovation, operational value, risk management, compliance, and enterprise scalability, preferred.
Additional Information
This job will be open and accepting applications for a minimum of five days from the date it was posted.
Company Culture & Background Screening
Company Culture at The Bancorp Bank: https://www.thebancorp.com/company/company-culture/
The Bancorp Bank, N.A. is an EQUAL OPPORTUNITY EMPLOYER and will not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, pregnancy, citizenship, national origin, age, disability, genetic information, veteran status or other protected category with respect to recruitment, hiring, training, promotion, and other terms and conditions of employment.
Employment with The Bancorp Bank, N.A. includes successfully passing a background check including credit, criminal, education, employment, OFAC, and social media background history.
#LI-PJ1
Position Summary
The Director AI Strategy & Intelligent Automation role is responsible for establishing and leading the enterprise strategy, roadmap, governance, and delivery of AI-enabled automation capabilities across The Bancorp. This role advances the organization from task-based automation to intelligent, predictive, and decision-driven operating models by applying artificial intelligence, machine learning, natural language processing, document intelligence, generative AI, agentic workflows, and data-driven decision making to high-value business processes.
This position serves as the enterprise leader and executive sponsor for AI within the Automation program, ensuring that solutions are scalable, secure, measurable, compliant, and aligned with enterprise architecture, model risk management, data governance, information security, vendor risk, and regulatory expectations. The role operates across business, technology, operations, risk, compliance, legal, and data functions, requiring strong executive influence, strategic planning, portfolio leadership, change management, and the ability to translate emerging AI capabilities into practical business outcomes within a regulated banking environment.
Key Responsibilities
- Owns the enterprise AI and intelligent automation strategy, roadmap, and operating model in alignment with business priorities, risk appetite, regulatory expectations, and enterprise transformation objectives.
- Leads prioritization of AI-enabled automation opportunities through intake governance, feasibility assessment, business case development, funding alignment, benefits estimation, and executive decision-making forums.
- Provides executive leadership for the design, architecture, and delivery of enterprise AI solutions that integrate machine learning, NLP, document intelligence, cognitive services, generative AI, and decisioning capabilities into business workflows.
- Oversees a portfolio of intelligent automation use cases, including alert triage, document intelligence, predictive exception handling, decision support, knowledge assistants, workflow orchestration, and agentic AI-enabled process improvement.
- Partners cross-functionally with Technology, Data Science, Operations, Risk, Compliance, Legal, Information Security, Financial Crimes, and business leaders to operationalize AI solutions in production environments.
- Establishes enterprise standards, reusable frameworks, controls, and best practices for AI model integration, orchestration with RPA platforms, cloud-based AI services, APIs, LLM-enabled capabilities, and scalable automation delivery.
- Ensures AI solutions meet responsible AI, model risk management, data governance, privacy, cybersecurity, auditability, third-party risk, and regulatory compliance requirements.
- Evaluates, selects, and governs AI technologies, automation platforms, implementation partners, and vendors in accordance with enterprise architecture, procurement, legal, risk, and compliance standards.
- Defines performance metrics, value realization methods, and executive reporting to measure productivity improvement, risk reduction, cycle-time improvement, cost optimization, quality enhancement, and adoption of AI-enabled solutions.
- Builds, develops, and leads a high-performing AI and automation capability, providing direction, mentorship, talent development, and accountability for delivery quality and organizational readiness.
- Advances AI literacy, adoption, and change management across the enterprise by translating complex technical concepts into practical business value, controls, and implementation plans.
- Represents the Automation program in governance forums, executive updates, audit or regulatory reviews, vendor assessments, strategic planning activities, and cross-functional decision-making forums, as needed.
- Performs other duties as assigned.
Qualification Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, Business, Information Systems, or related field, or equivalent experience.
- 12+ years of experience in AI, intelligent automation, technology strategy, digital transformation, data science, advanced analytics, or related enterprise technology functions.
- 5+ years of leadership experience managing cross-functional teams, enterprise technology portfolios, transformation programs, or AI/automation delivery capabilities.
- Demonstrated experience defining enterprise strategy, governance, roadmaps, operating models, and measurable outcomes for AI, automation, analytics, or technology-enabled transformation initiatives.
- Proven ability to influence senior executives and lead complex initiatives across business, technology, data, risk, compliance, legal, information security, and operations stakeholders.
- Strong understanding of AI/ML, generative AI, NLP, intelligent automation, workflow orchestration, cloud-based AI services, data governance, model risk management, and regulatory considerations within financial services.
- Advanced degree, such as a Master’s degree or PhD, in AI, Data Science, Computer Science, Engineering, Business, or related discipline, preferred.
- Experience building, leading, or scaling an enterprise AI, intelligent automation, digital transformation, innovation, or AI Center of Excellence capability, preferred.
- Experience operating within banking, sponsor banking, fintech, payments, lending, financial crimes, compliance, or other regulated financial services environments, preferred.
- Familiarity with platforms and technologies such as UiPath, Python, Azure AI/OpenAI, cloud AI services, APIs, RAG, LLMOps, MLOps, document intelligence, predictive modeling, and agentic AI workflows, preferred.
- Experience establishing responsible AI governance, model lifecycle management, risk controls, production monitoring, auditability, and human-in-the-loop oversight for AI-enabled processes, preferred.
- Experience evaluating AI vendors, automation platforms, implementation partners, third-party risk considerations, commercial models, and enterprise technology investment decisions, preferred.
- Exceptional executive communication, stakeholder engagement, facilitation, and presentation skills with the ability to translate technical capabilities into business impact, preferred.
- Demonstrated ability to drive change management, adoption, training, and organizational readiness for AI-enabled transformation in evolving program structures, preferred.
- Strong business judgment, strategic thinking, and execution discipline with the ability to balance innovation, operational value, risk management, compliance, and enterprise scalability, preferred.
Additional Information
This job will be open and accepting applications for a minimum of five days from the date it was posted.
Company Culture & Background Screening
Company Culture at The Bancorp Bank: https://www.thebancorp.com/company/company-culture/
The Bancorp Bank, N.A. is an EQUAL OPPORTUNITY EMPLOYER and will not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, pregnancy, citizenship, national origin, age, disability, genetic information, veteran status or other protected category with respect to recruitment, hiring, training, promotion, and other terms and conditions of employment.
Employment with The Bancorp Bank, N.A. includes successfully passing a background check including credit, criminal, education, employment, OFAC, and social media background history.
#LI-PJ1
See All 20 AI Researcher Jobs in Delaware
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Find AI Researcher JobsAI Researcher Jobs by City in Delaware
Where Delaware roles are concentrated, by current openings.
AI Researcher Job Market in Delaware
A snapshot from current Delaware openings, updated as new roles post.
Who's Hiring
- JPMorganChase10
- CVS Health3
- The Bancorp2
- M&T Bank1
- I8IS1I
Top Industries Hiring
- Banking & Financial Services5
- Fintech4
- Healthcare & Medical Services4
- Investment & Asset Management4
- Technology & Software2
What Delaware Employers Look For
The qualifications that appear most often in AI researcher jobs across Delaware.
- Master's or PhD in computer science, machine learning, or a closely related field
- Hands-on experience building and deploying machine learning or deep learning models
- Proficiency in Python and core ML frameworks such as PyTorch or TensorFlow
- Demonstrated research output such as published papers, patents, or open-source contributions
- Experience working with large datasets and cloud-based data infrastructure
- Strong written and verbal communication skills for cross-functional research collaboration
AI Researcher Jobs in Delaware: Frequently Asked Questions
How do you become a ai researcher in Delaware?
AI researcher roles in Delaware do not require a state-issued license. The concrete path is a bachelor's degree followed by a master's or PhD in computer science, artificial intelligence, or a related discipline from a program such as those at the University of Delaware or Delaware State University. Employers in Wilmington's financial sector and Newark's tech corridor typically expect a graduate degree, a published or demonstrated research portfolio, and hands-on experience with modern ML frameworks before hiring at the researcher level.
Which companies hire ai researchers in Delaware?
Companies currently hiring ai researchers in Delaware include JPMorganChase, CVS Health, and The Bancorp, per current listings on Migrate Mate as of July 2026. Delaware's concentration of financial services headquarters, pharmaceutical research operations, and government-adjacent technology contractors makes it a consistent source of applied AI research demand.
Which Delaware cities have the most ai researcher jobs?
Wilmington, Delaware, and Dover hold the most ai researcher openings in Delaware. Wilmington leads because it is home to major financial services and corporate headquarters, Newark follows as the anchor of the University of Delaware research corridor and a cluster of biotech and technology firms, and Dover draws demand from state government agencies and defense-adjacent contractors operating in the capital region.
Are there remote ai researcher jobs in Delaware?
Yes, and more than most fields. About 43% of ai researcher openings tied to Delaware are remote or hybrid as of July 2026, reflecting the desk-based, computationally intensive nature of the work. Research roles focused on modeling, data analysis, and algorithm development are the most consistently offered on a remote or hybrid basis, while positions requiring access to proprietary lab infrastructure or secure government facilities tend to be on-site.
How can I get hired as a ai researcher in Delaware with little or no experience?
The most realistic entry path is through a research assistantship or internship during graduate study, particularly at the University of Delaware's data science and AI labs, which have established relationships with Wilmington-area employers. Candidates can also transition from adjacent roles such as data analyst, machine learning engineer, or software engineer by building a public portfolio of research projects. Large Delaware-based financial institutions and pharmaceutical companies run structured early-career programs that accept candidates who demonstrate applied project work even without a formal research title.
Where can I find and apply to ai researcher jobs in Delaware?
You can find and apply to ai researcher jobs in Delaware on Migrate Mate, which lists current Delaware openings across industries and experience levels. Search the listings to find roles that match your background, then apply directly to the ones that fit.
See All 20 AI Researcher Jobs in Delaware
Find roles in Delaware that match your experience and apply in just a few clicks.
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