AI Consultant Jobs in Delaware
AI Consultant jobs in Delaware are concentrated in Wilmington, Dover, and Newark, where financial services giants, government agencies, and research institutions drive steady demand for machine learning, enterprise AI strategy, and data pipeline expertise. Employers with deep roots in the state, including JPMorgan Chase, DuPont, and Incyte, regularly bring on ai consultants to modernize operations, automate workflows, and build predictive models at scale. Openings run from associate-level analyst roles through senior principal and director positions, making Delaware one of the more active mid-Atlantic markets for this discipline. Scan the live roles below and apply to whichever ones fit.
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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 25 AI Consultant Jobs in Delaware
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Find AI Consultant JobsAI Consultant Jobs by City in Delaware
Where Delaware roles are concentrated, by current openings.
AI Consultant Job Market in Delaware
A snapshot from current Delaware openings, updated as new roles post.
Who's Hiring
- JPMorganChase10
- CVS Health4
- KBR2
- The Bancorp2
- Cognizant1
Top Industries Hiring
- Healthcare & Medical Services5
- Fintech4
- Banking & Financial Services4
- Investment & Asset Management4
- Technology & Software3
What Delaware Employers Look For
The qualifications that appear most often in AI consultant jobs across Delaware.
- Bachelor's or master's degree in computer science, data science, or a closely related field
- Demonstrated experience designing and deploying machine learning or large language model solutions
- Proficiency in Python, cloud platforms such as AWS or Azure, and MLOps tooling
- Ability to translate complex AI capabilities into actionable recommendations for non-technical stakeholders
- Experience working within regulated industries such as financial services, pharmaceuticals, or government
- Professional certification in AI, cloud architecture, or data science from a recognized technical body
AI Consultant Jobs in Delaware: Frequently Asked Questions
How do you become a ai consultant in Delaware?
There is no state-issued license required to work as an ai consultant in Delaware. The standard path is a bachelor's degree in computer science, data science, or engineering, followed by hands-on project experience in machine learning or enterprise AI. Many Delaware employers, particularly in financial services and life sciences, also look for industry certifications from AWS, Google Cloud, or Microsoft Azure. Building a portfolio of documented AI projects strengthens any application considerably.
Which companies hire ai consultants in Delaware?
Delaware ai consultant roles are posted by JPMorganChase, CVS Health, and KBR and others right now, based on current listings on Migrate Mate as of July 2026. Delaware's dense concentration of Fortune 500 financial and pharmaceutical headquarters means many of these postings come from in-house innovation and digital transformation teams rather than pure consulting firms.
Which Delaware cities have the most ai consultant jobs?
Wilmington, Newark, and Delaware account for the largest share of ai consultant openings in Delaware. Wilmington dominates because of its headquarters-heavy financial services sector, while Newark benefits from proximity to the University of Delaware's research community, and Dover draws demand from state government technology initiatives and defense-adjacent contractors.
Are there remote ai consultant jobs in Delaware?
Yes, and more than most fields. About 44% of ai consultant openings tied to Delaware are remote or hybrid as of July 2026, reflecting the desk-based and analytical nature of the work. Strategy, model development, and advisory engagements are most commonly offered with full remote or flexible hybrid arrangements, while roles requiring hands-on integration with on-site systems tend to require regular in-person presence.
How can I get hired as a ai consultant in Delaware with little or no experience?
The most realistic entry point is an associate data analyst or junior machine learning engineer role at one of Delaware's large financial services or life sciences employers, where internal rotational programs and AI center-of-excellence teams actively recruit new graduates. Employers like those in Wilmington's banking corridor often run structured associate programs that bridge candidates from analytical support into applied AI work. A capstone project, a GitHub portfolio demonstrating a deployed model, or an AWS or Azure foundational certification gives early-career candidates a concrete edge in these applications.
Where can I find and apply to ai consultant jobs in Delaware?
You can find and apply to ai consultant jobs in Delaware on Migrate Mate, which lists current Delaware openings. Search the roles available, identify the ones that fit your background and interests, and apply directly to each position through the listing.
See All 25 AI Consultant Jobs in Delaware
Find roles in Delaware that match your experience and apply in just a few clicks.
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