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Artificial Intelligence Engineer Trainee Jobs (NOW HIRING)

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Job Title: Artificial Intelligence Engineer Job Location: Bellevue - Washington Job Type: Contract * Lead the development and deployment of machine learning models and analytical solutions for ...

NJ · On-site

$65K - $68K/yr

Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of ...

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Artificial Intelligence Engineer

Cleveland, OH · On-site

$111K - $133K/yr

We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and contribute to the development of a robust AI-enabled solution. As an AI Engineer, you will be ...

Foundry Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel:

Artificial Intelligence Engineer

Houston, TX · On-site

$99K - $133K/yr

The Domain AI Integration Engineer will be responsible for integrating advanced Artificial Intelligence and Generative AI capabilities into the company's domain software systems (e.g. Delfi, Lumi ...

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How much do artificial intelligence engineer trainee jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for artificial intelligence engineer trainee in the United States is $22.46, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $26.20 per hour, depending on experience, location, and employer.

What does an artificial intelligence engineer trainee do?

An Artificial Intelligence Engineer Trainee learns and assists with designing, developing, and deploying AI models and systems under the supervision of experienced engineers. Their responsibilities often include data preprocessing, building and testing machine learning algorithms, and supporting the integration of AI solutions into existing products or services. Trainees may also work on tasks related to natural language processing, computer vision, or predictive analytics, and are expected to keep up-to-date with the latest AI research and technologies. This role is ideal for individuals who are starting their careers in AI and want hands-on experience while enhancing their technical and problem-solving skills.

What are the key skills and qualifications needed to thrive as an artificial intelligence engineer trainee?

To thrive as an Artificial Intelligence Engineer Trainee, a solid background in computer science, mathematics, and programming languages like Python is essential, often supported by a relevant degree or coursework. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and version control systems is typically expected. Strong analytical thinking, problem-solving ability, and willingness to learn new technologies help trainees stand out in this evolving field. These skills and qualities are crucial for effectively developing, testing, and deploying AI models in real-world applications.

What are some common challenges faced by artificial intelligence engineer trainees during their first projects?

As an Artificial Intelligence Engineer Trainee, you may encounter challenges such as understanding complex datasets, managing data preprocessing, and bridging the gap between theoretical knowledge and real-world applications. Collaborating with cross-functional teams, learning to select appropriate machine learning models, and debugging code are also common hurdles. However, these challenges offer valuable learning opportunities and are typically addressed with mentorship, hands-on practice, and access to collaborative team resources.

How to get a job in artificial intelligence with no experience?

To get a job as an Artificial Intelligence Engineer Trainee with no experience, focus on building foundational skills in programming languages like Python, learn key concepts such as machine learning and data analysis, and complete online courses or certifications. Gaining hands-on experience through personal projects, internships, or contributing to open-source AI projects can also improve your chances of entry-level employment.
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Infographic showing various Artificial Intelligence Engineer Trainee job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $46,727 per year, or $22.5 per hour.

Artificial Intelligence Engineer

MKS2 Technologies

Washington, DC • Remote

$180K - $210K/yr

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.


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.