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Artificial Intelligence Cognitive Science Jobs in Delaware

$150 - $200/hr

... applying artificial intelligence, machine learning, natural language processing, document ... Partners cross-functionally with Technology, Data Science, Operations, Risk, Compliance, Legal ...

Develop and implement data science, machine learning and artificial intelligence solutions that enhance quality processes and scientific decision-making. * Build and maintain scalable data pipelines ...

We help visionary companies advance their engineering and science initiatives through access to ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

We help visionary companies advance their engineering and science initiatives through access to ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

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Artificial Intelligence Cognitive Science information

See Delaware salary details

$11K

$103K

$133.1K

How much do artificial intelligence cognitive science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for artificial intelligence cognitive science in Delaware is $103,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $132,600.00 per year, depending on experience, location, and employer.

What jobs can I get with artificial intelligence cognitive science?

With a background in artificial intelligence cognitive science, common job roles include AI researcher, machine learning engineer, data scientist, cognitive systems designer, and AI product manager. These roles often require skills in programming, data analysis, and understanding human cognition, and may involve working with tools like Python, TensorFlow, or neural networks in research or industry settings.

What is an artificial intelligence cognitive science?

An Artificial Intelligence Cognitive Science job involves studying and developing AI systems that mimic human cognition, such as learning, reasoning, and problem-solving. Professionals in this field combine insights from computer science, psychology, neuroscience, and linguistics to create intelligent systems. They work on machine learning models, natural language processing, and human-computer interaction to enhance AI capabilities. These roles are found in industries like tech, healthcare, robotics, and finance, where cognitive AI improves decision-making and automation.

What are the typical projects and day-to-day responsibilities for someone working in artificial intelligence cognitive science?

Professionals in Artificial Intelligence Cognitive Science often work on projects that involve designing algorithms to simulate cognitive processes, analyzing large sets of behavioral or neural data, and building models that integrate AI with insights from human cognition. Day-to-day responsibilities usually include coding and testing AI models, collaborating with neuroscientists or psychologists, conducting experiments, and reporting on findings. You might also participate in interdisciplinary meetings to align product development with current cognitive research and contribute to academic publications or conferences. This role offers a dynamic and intellectually stimulating environment, with plenty of opportunities to tackle complex problems and influence the future of AI-driven technologies.

What are the key skills and qualifications needed to thrive in artificial intelligence cognitive science, and why are they important?

To thrive in Artificial Intelligence Cognitive Science, a candidate needs a strong background in computer science, cognitive psychology, and machine learning, often supported by advanced degrees in these areas. Familiarity with programming languages such as Python, R, or MATLAB, experience with data analysis tools, and knowledge of AI frameworks like TensorFlow or PyTorch are typically required. Excellent problem-solving skills, curiosity, and the ability to communicate complex ideas to both technical and non-technical audiences are highly valued soft skills. These competencies enable professionals to bridge the gap between human cognition and AI, driving innovation and effective collaboration in multidisciplinary teams.

What are the most commonly searched types of Artificial Intelligence Cognitive Science jobs in Delaware? The most popular types of Artificial Intelligence Cognitive Science jobs in Delaware are:
What job categories do people searching Artificial Intelligence Cognitive Science jobs in Delaware look for? The top searched job categories for Artificial Intelligence Cognitive Science jobs in Delaware are:
What cities in Delaware are hiring for Artificial Intelligence Cognitive Science jobs? Cities in Delaware with the most Artificial Intelligence Cognitive Science job openings:
Infographic showing various Artificial Intelligence Cognitive Science job openings in Delaware as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $103,026 per year, or $49.5 per hour.

Director AI Strategy & Intelligent Automation

Bancorp Bank, The

Wilmington, DE • On-site

Full-time

Re-posted 8 days ago


Job description

Position Summary

At The Bancorp, we've spent more than 25 years driving innovation in the financial services industry. As one of the first banks to embrace fintech, we combine technology, expertise and a forward-looking approach to deliver creative, real-world solutions. We work side by side with our partners to help them grow and innovate with confidence. Across Fintech Solutions, Institutional Banking, Commercial Lending and Real Estate Bridge Lending, we provide the people, processes, technology and banking capabilities that turn bold ideas into outcomes.

Join a team that brings urgency and rigor to every challenge and plays a direct role in driving growth for our clients and the communities we serve.

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.

Working at The Bancorp Bank, N.A. and Benefits Information: https://thebancorp.com/company/join-our-team/

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.

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Employment Type: FULL_TIME