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Full Time Artificial Intelligence Neuroscience Jobs

Sys Integration Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... ORA_ON_SITE Description The Customer's Artificial Intelligence (AI) Research Team Systems ...

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Full Time Artificial Intelligence Neuroscience information

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How much do full time artificial intelligence neuroscience jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for full time artificial intelligence neuroscience in the United States is $60.25, according to ZipRecruiter salary data. Most workers in this role earn between $51.44 and $65.62 per hour, depending on experience, location, and employer.

What is the difference between Full Time Artificial Intelligence Neuroscience vs Data Scientist?

AspectFull Time Artificial Intelligence NeuroscienceData Scientist
Required CredentialsAdvanced degrees in AI, Neuroscience, or related fields; certifications in machine learning and data analysisDegree in Computer Science, Statistics, or related fields; certifications in data analysis and programming
Work EnvironmentResearch labs, tech companies, academic institutions focusing on AI and neuroscience projectsCorporate offices, tech firms, research organizations analyzing large datasets
Employer & Industry UsageTech companies, healthcare, academia working on AI-driven neuroscience researchVarious industries including finance, healthcare, marketing leveraging data insights

While both roles involve data analysis and technical skills, Full Time Artificial Intelligence Neuroscience focuses on applying AI techniques to neuroscience research, whereas Data Scientists analyze diverse datasets across industries. The former emphasizes neuroscience and AI integration, often requiring specialized knowledge in both fields.

What cities are hiring for Full Time Artificial Intelligence Neuroscience jobs?

Cities with the most Full Time Artificial Intelligence Neuroscience job openings:

What are the most commonly searched types of Artificial Intelligence Neuroscience jobs?

The most popular types of Artificial Intelligence Neuroscience jobs are:

What states have the most Full Time Artificial Intelligence Neuroscience jobs?

States with the most job openings for Full Time Artificial Intelligence Neuroscience jobs include:

What job categories do people searching Full Time Artificial Intelligence Neuroscience jobs look for?

The top searched job categories for Full Time Artificial Intelligence Neuroscience jobs are:

Infographic showing various Full Time Artificial Intelligence Neuroscience job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $125,316 per year, or $60.2 per hour.

Artificial Intelligence Engineer

Washington, DC • Remote

MKS2 Technologies
51 - 200 employees

$180K - $210K/yr

Full-time

Posted 2 days ago

New


Job description

MKS2 Technologies, LLC, an award-winning high growth small business, creates innovative and customer-centric technology solutions in the areas of Cyber Security, Instructional Design and Training, Software Engineering and IT Support Services to improve the security and well-being of our clients. Our commitment to excellence and our "Mission First" orientation has resulted in steady growth and an expanding client base across government agencies. We have employees nationwide and for the past three consecutive years were named one of the fastest growing Veteran-owned companies in the nation. Please take a moment to browse through our website and learn more about what it means to serve with MKS2.


Artificial Intelligence Engineer (Key Personnel)

Location: Remote (Supporting Eastern Time Zone)
Employment Type: Full-Time
Security Requirement: Tier 4 / High Risk Background Investigation
Travel: Approximately two trips per year (seven trips over the life of the contract)

Salary Range: $180,000-$210,000

Position Overview

MKS2 is seeking an experienced Artificial Intelligence Engineer (Key Personnel) to support the development, implementation, and optimization of advanced AI and machine learning solutions for a federal government program. This role will serve as a technical leader responsible for designing, building, training, deploying, and maintaining AI-driven systems that address complex business and mission requirements. The ideal candidate will possess deep expertise in artificial intelligence, machine learning, data science, software engineering, and cloud-based technologies within large enterprise or government environments.

The Artificial Intelligence Engineer will collaborate closely with data scientists, software engineers, cybersecurity professionals, stakeholders, and government leadership to develop innovative solutions that drive operational efficiency, decision-making, and mission outcomes.

Key Responsibilities
  • Design, develop, deploy, and maintain enterprise-scale artificial intelligence and machine learning solutions.
  • Lead the creation of predictive models, natural language processing applications, generative AI solutions, and advanced analytics platforms.
  • Develop and implement machine learning algorithms and model architectures for real-world business challenges.
  • Build and optimize data pipelines, feature engineering processes, and model training environments.
  • Evaluate emerging AI technologies and recommend innovative solutions to enhance mission performance.
  • Ensure AI solutions align with security, privacy, compliance, and governance requirements.
  • Collaborate with cross-functional teams including software developers, cybersecurity specialists, data engineers, and business stakeholders.
  • Support cloud-based AI deployments and model operationalization activities.
  • Conduct model validation, performance monitoring, and continuous improvement initiatives.
  • Provide technical guidance, mentorship, and thought leadership on AI strategies and capabilities.
  • Develop technical documentation, architecture diagrams, implementation plans, and executive briefings.
  • Participate in program reviews, stakeholder meetings, and technical working groups.
Required Experience
  • Minimum of 10 years of experience in information technology security, data science, software engineering, or related technical disciplines.
  • At least 5 years of experience designing, developing, or deploying artificial intelligence or machine learning systems within enterprise or government environments.
  • Experience delivering AI-enabled solutions for large organizations or federal agencies similar in size and complexity to the Department of Veterans Affairs (VA), Department of Defense (DoD), Internal Revenue Service (IRS), or General Services Administration (GSA).
  • Demonstrated experience implementing AI and machine learning solutions in production environments.

Substitution:

  • A PhD in Information Technology Security, Data Science, Software Engineering, or a related discipline may substitute for up to five years of the required experience.
Required Education

Master's degree in one of the following disciplines:

  • Artificial Intelligence
  • Business Administration
  • Business Management
  • Cybersecurity
  • Computer Science
  • Information Systems
  • Information Assurance
  • Information Security
  • Information Resource Management
  • Related field
Required Certifications

Must possess one or more of the following:

  • Information Assurance Technician (IAT) Level III
  • Information Assurance Management (IAM) Level III
  • Information Assurance System Architect and Engineer (IASAE) Level III
Required Expertise
  • Extensive experience working on data science, machine learning, and artificial intelligence projects.
  • Experience building, training, testing, and deploying machine learning models in production environments.
  • Expertise collaborating with multidisciplinary teams including data scientists, software engineers, architects, cybersecurity personnel, and business stakeholders.
  • Strong understanding of data preparation, data quality, cleansing, transformation, and feature engineering techniques.
  • Experience applying AI technologies to complex business and mission challenges.
  • Knowledge of responsible AI principles, model governance, security considerations, and ethical AI practices.
  • Experience supporting federal government organizations or large enterprise environments.
  • Hands-on experience with AI frameworks, machine learning libraries, and cloud-based AI services.
  • Strong analytical, problem-solving, and communication skills.
Security Requirement
  • Must be able to successfully complete and maintain a Tier 4 / High Risk Background Investigation.
Place of Performance
  • Remote position supporting Eastern Time Zone operations.
  • Meetings and coordination activities may occur at the Department of Veterans Affairs Central Office (VACO), 811 Vermont Avenue NW, Washington, DC.
  • Routine onsite support is not anticipated.
Hours of Operation
  • Available during standard Federal Government business days.
  • Must be responsive during core business hours of 8:00 AM to 5:00 PM Eastern Time.
Travel Requirements
  • Support program-related meetings and events as required.
  • Government anticipates approximately two trips per year, totaling seven trips across the contract period.
Why Join MKS2?

At MKS2, we partner with federal agencies to deliver innovative technology solutions that improve mission outcomes and enhance operational effectiveness. Our team is committed to excellence, collaboration, and continuous innovation while supporting some of the nation's most important programs. This role offers the opportunity to help shape the future of artificial intelligence within the federal government sector while working in a highly collaborative and mission-driven environment.


Diversity creates a healthier atmosphere: MKS2 Technologies is proud to be an Equal Employment Opportunity / Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.