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Vp Artificial Intelligence Cognitive Science Jobs

慨正橡扯

NY · On-site

$163.30 - $236.80/hr

Deep expertise in artificial intelligence, with a track record of implementing advanced AI ... Bachelor's degree in a technology discipline such as Computer Science, Information Management ...

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Vp Artificial Intelligence Cognitive Science information

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

As of Aug 7, 2026, the average yearly pay for vp artificial intelligence cognitive science in the United States is $145,590.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $187,000.00 per year, depending on experience, location, and employer.

What is the difference between Vp Artificial Intelligence Cognitive Science vs Data Scientist?

AspectVp Artificial Intelligence Cognitive ScienceData Scientist
Required CredentialsAdvanced degrees in AI, Cognitive Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic leadership in R&D, cross-disciplinary teamsData analysis, modeling, and visualization in various industries
Industry UsageTech companies, research institutions, AI-focused organizationsFinance, healthcare, marketing, tech, and more

The Vp Artificial Intelligence Cognitive Science typically focuses on leading AI and cognitive science initiatives at a strategic level, requiring advanced degrees and experience in research. In contrast, Data Scientists primarily analyze data to derive insights, often with a focus on modeling and statistical techniques. Both roles are vital in data-driven industries but differ in scope, responsibilities, and required expertise.

What are the key skills and qualifications needed to thrive as a VP of Artificial Intelligence and Cognitive Science?

To thrive as a VP of Artificial Intelligence and Cognitive Science, you need deep expertise in AI, machine learning, and cognitive science, typically supported by an advanced degree (e.g., PhD) and extensive experience in research or industry leadership. Proficiency with AI frameworks (such as TensorFlow or PyTorch), data analytics platforms, and familiarity with regulatory standards or certifications are highly valued. Exceptional strategic thinking, communication, and leadership skills set top candidates apart by enabling them to guide multidisciplinary teams and align AI initiatives with business objectives. These skills and qualifications are crucial for driving innovation, ensuring ethical and effective AI deployment, and maintaining a competitive edge in rapidly evolving technology landscapes.

What does a VP of Artificial Intelligence and Cognitive Science do?

A VP of Artificial Intelligence and Cognitive Science is a senior executive responsible for leading the development and implementation of AI strategies within an organization, with a focus on leveraging cognitive science principles. They oversee teams of data scientists, researchers, and engineers to create intelligent systems that mimic human thought and behavior. This role involves collaborating with other departments, setting research agendas, and ensuring that AI initiatives align with business goals and ethical standards. Additionally, they stay updated on the latest advancements in AI and cognitive science to drive innovation and maintain a competitive edge.

What are some of the main challenges faced by a VP of Artificial Intelligence and Cognitive Science when integrating AI solutions across different departments?

A VP of Artificial Intelligence and Cognitive Science often encounters challenges such as aligning AI initiatives with diverse departmental goals, ensuring data quality and accessibility, and addressing varying levels of AI readiness within teams. Successfully integrating AI requires effective communication, change management, and building interdisciplinary teams that can bridge technical and domain-specific knowledge. Additionally, fostering a culture of innovation and continuous learning is crucial to maximize the impact of AI solutions across the organization.
What cities are hiring for Vp Artificial Intelligence Cognitive Science jobs? Cities with the most Vp Artificial Intelligence Cognitive Science job openings:
What are the most commonly searched types of Artificial Intelligence Cognitive Science jobs? The most popular types of Artificial Intelligence Cognitive Science jobs are:
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Vp Artificial Intelligence Cognitive Science jobs near you
Infographic showing various Vp Artificial Intelligence Cognitive Science job openings in the United States 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 $145,590 per year, or $70 per hour.

Senior Cognitive Scientist

VivSoft Technologies

Herndon, VA • Remote

$130K - $140K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted yesterday

Job description

About Us:
VivSoft is an emerging technology company specializing in Cloud, Enterprise DevSecOps, AI, and Digital Customer Experience to drive mission-enabling digital transformation. We build mission-focused, scalable solutions through a diverse team of strategists, engineers, and designers experienced in high-performance software and AI factory accelerators. At VivSoft, you'll lead high-impact federal proposals that shape mission-critical solutions in cutting-edge fields like DevSecOps, AI, and Cloud technologies.
Job Summary:
We are seeking a highly skilled Senior Cognitive Scientist to lead research and development efforts focused on applying cognitive science principles to artificial intelligence within enterprise business applications. This role involves designing advanced approaches for learning representations from textual data to enhance information discovery and support human decision-making. The ideal candidate will have deep expertise in cognitive modeling, training design, and performance metrics, along with hands-on experience in AI, machine learning, and natural language processing.
Key Responsibilities:
  • Apply cognitive science principles to enable AI solutions in enterprise business applications.
  • Design and implement methods for learning representations from textual data to improve information retrieval and decision-making.
  • Lead R&D initiatives in training design, competency modeling, and cognitive performance metrics.
  • Identify cognitive training requirements and develop cognitive skills training programs.
  • Develop and validate metrics for assessing cognitive performance and competency models.
  • Collaborate with cross-functional teams to integrate cognitive science into AI-driven systems.
  • Contribute to all phases of software development, with emphasis on planning, analysis, testing, integration, documentation, and presentation.

Minimum Qualifications:
  • Minimum of five (5) years of relevant experience in cognitive science, AI, or related fields.
  • Master’s Degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or a related discipline.
  • Experience with artificial intelligence, machine learning, natural language processing (NLP), knowledge discovery, data mining, and unstructured data analytics.
  • Proficiency in one or more programming languages, including but not limited to: Java, C/C++, or Python.
  • Experience with one or more of the following: NLP, text understanding, classification, pattern recognition, recommendation systems, targeting systems, or ranking systems.
  • Must possess IT-II Non-Critical Sensitive security clearance or Tier 3 (T3) at time of proposal submission.

Preferred Skills:
  • Strong research background in cognitive science and its application to AI.
  • Experience designing cognitive training programs and performance metrics.
  • Familiarity with enterprise AI applications and human-computer interaction.

Benefits:
  • Comprehensive Medical, Dental, and Visions Plans (Healthcare benefits are 100% employer-paid for employees only)
  • Life Insurance
  • Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays)
  • 401K Retirement Plan with employer match
  • Professional Development Training Reimbursement
  • Flexible/remote work schedules

Salary Range: $ 130,000- $ 140,000 annually

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