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Associates Degree In Artificial Intelligence Jobs

Master's degree in Artificial Intelligence, Data Science, Data Analytics, or related field from an ... No Terminal Degree Step 1 $947 - Step 11 $1,205 per credit hour Associate Adjunct Professor:

$94.82 - $118.53/hr

You hold a university degree in physics, mathematics, computer science or a related field. PHD is preferable * You have long years of professional experience in the field of Artificial Intelligence ...

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Associates Degree In Artificial Intelligence information

What is an associate's degree in artificial intelligence?

An Associate's Degree in Artificial Intelligence is a two-year undergraduate program that introduces students to the fundamentals of AI, including machine learning, data analysis, and computer programming. The curriculum typically covers subjects such as Python programming, statistics, algorithms, and basic AI concepts. Graduates are prepared for entry-level positions in technology fields or for further study in bachelor's programs related to computer science or artificial intelligence.

What are the key skills and qualifications needed to thrive with an associate's degree in artificial intelligence?

To thrive with an Associate's Degree in Artificial Intelligence, you need foundational knowledge in programming (such as Python), basic mathematics, and understanding of AI concepts. Familiarity with tools like TensorFlow, machine learning libraries, and data analysis platforms is typically expected. Strong problem-solving skills, adaptability, and teamwork are valuable soft skills for this field. These skills and qualities are essential for efficiently supporting AI projects, collaborating with teams, and adapting to rapidly evolving technological advancements.

What types of entry-level roles are available to graduates with an associate's degree in artificial intelligence?

Graduates with an Associate's Degree in Artificial Intelligence often find entry-level opportunities as data technicians, junior AI analysts, or machine learning support specialists. In these roles, you’ll typically work under the guidance of senior data scientists or engineers, assisting with data preprocessing, basic model training, and the maintenance of AI systems. You’ll collaborate closely with software developers, IT staff, and sometimes clients to support larger AI projects. These roles offer valuable hands-on experience and can serve as a stepping stone toward more advanced positions or further education in the field.

What is the difference between Associates Degree In Artificial Intelligence vs Data Analyst?

AspectAssociates Degree In Artificial IntelligenceData Analyst
Required CredentialsAssociate's degree in AI or related fieldAssociate's or Bachelor's degree in Data Science, Statistics, or related field
Work EnvironmentTech companies, research labs, AI development teamsBusiness, finance, healthcare, and marketing sectors
Industry UsageAI development, machine learning projects, automationData interpretation, reporting, and decision support

While both roles require analytical skills, an Associates Degree In Artificial Intelligence focuses on AI technologies and machine learning, often in tech environments. In contrast, a Data Analyst emphasizes data interpretation and reporting across various industries. Your choice depends on whether you want to specialize in AI development or data-driven decision-making.

Is an associate's degree in artificial intelligence worth it?

An associate's degree in artificial intelligence provides foundational knowledge in programming, data analysis, and machine learning, which can help entry-level positions or internships in AI-related fields. However, many roles in AI prefer candidates with a bachelor's or higher degree, so additional training or certifications may be necessary for advanced positions.

What can I do with an associate's degree in artificial intelligence?

An associate's degree in artificial intelligence prepares individuals for entry-level roles such as AI technician, data analyst, or machine learning assistant. These positions often involve working with programming languages like Python, using AI tools, and supporting AI development in various industries. Additional certifications and hands-on experience can enhance job prospects in this field.
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Infographic showing various Associates Degree In Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Artificial Intelligence (AI) Engineer

AGE Solutions

Fort George G Meade, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

About Us
AGE Solutions is a premier technology and professional services company, providing in-depth consulting, advanced technology solutions, and essential services throughout the U.S. government, defense, and intelligence sectors. Prioritizing innovation and client-focused solutions, we assist major agencies in addressing intricate issues and ensuring a more secure future.
AGE Solutions is seeking a highly motivated Artificial Intelligence (AI) Engineer to support our DoD customer's Emerging Technology Mission Assurance initiatives by researching, evaluating, engineering, and integrating Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and other emerging technologies that strengthen Department of Defense cybersecurity and enterprise capabilities.
Working directly with our customer's engineers, industry partners, and government stakeholders, the successful candidate will conduct technology research, support technology assessments and proof-of-concept activities, evaluate commercial and government AI solutions, and provide engineering recommendations that inform enterprise architecture, cybersecurity modernization, and future technology adoption across the DoD Information Network (DoDIN).
Responsibilities Include:
  • Research, evaluate, and assess emerging technologies, including Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), Generative AI, cloud computing, cybersecurity, identity management, networking, and advanced computing platforms.
  • Analyze commercial and government technology solutions and provide technical recommendations supporting DISA modernization initiatives.
  • Design, develop, and execute technology evaluations, laboratory testing, pilot programs, and proof-of-concept demonstrations.
  • Develop technology evaluation plans, operational use cases, success criteria, performance metrics, and technical assessment reports.
  • Develop AI prototypes and assist with transitioning successful capabilities into operational environments.
  • Evaluate AI model performance, scalability, security, and operational effectiveness.
  • Apply systems engineering principles throughout technology evaluation, integration, testing, and transition activities.
  • Develop engineering documentation, including architecture diagrams, technical analyses, white papers, CONOPS, and engineering recommendations.
  • Support DISA integration with commercial cloud providers and cloud-hosted AI capabilities.
  • Evaluate AI workloads across hybrid, on-premises, and multi-cloud environments.
  • Collaborate with DISA organizations, DoD agencies, Combatant Commands, industry partners, and other stakeholders to evaluate emerging technologies.
  • Present technical findings, recommendations, and executive briefings to government leadership and Integrated Product Teams (IPTs).
  • Support strategic technology planning, technology roadmaps, business case analyses, and technology migration strategies.

Required Skills, Qualifications, and Experience:
  • Experience:
    • 10 Years of experience
      • 5+ years supporting Artificial Intelligence, Machine Learning, Systems Engineering, Emerging Technologies, Cybersecurity, or Cloud Engineering
  • Education:
    • Bachelor's degree in computer science, Artificial Intelligence, Systems Engineering, Cybersecurity, Information Technology, or a related technical field (or equivalent experience).
  • Security Clearance:
    • Must have and maintain a current DoD Top Secret Clearance.
  • Certifications:
    • Current DoD 8140 baseline certification (e.g., Security+ CE, CEH)
      • Highly Desired: Microsoft Azure AI Engineer Associate or Azure AI Fundamentals AWS Certified AI Practitioner or AWS Machine Learning Engineer
  • Experience with Artificial Intelligence, Machine Learning, Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, or Generative AI technologies.
  • Experience conducting technology research, evaluations, proof-of-concepts, or pilot projects.
  • Knowledge of systems engineering principles and technology lifecycle management.
  • Experience with cloud computing platforms and AI-enabled cloud services.
  • Strong analytical, technical writing, and presentation skills.
  • Ability to develop technical documentation, reports, and executive briefings.
  • Strong communication and collaboration skills with government and technical stakeholders.

Preferred Qualifications:
  • Experience supporting DISA, DoD, Federal Government, or Intelligence Community technology modernization programs.
  • Experience with AI governance, Responsible AI, and AI security within government or regulated environments.
  • Experience with commercial cloud platforms such as Microsoft Azure or Amazon Web Services (AWS).
  • Familiarity with Zero Trust Architecture, NIST Risk Management Framework (RMF), and DoD cybersecurity policies.
  • Experience supporting enterprise architecture, technology roadmaps, and modernization initiatives.
  • Experience briefing senior government leadership and executive stakeholders.
  • Experience with DevSecOps, automation, containerization, or Kubernetes.
  • Knowledge of DISA Enterprise Integration and Innovation Center (EIIC), Risk - Management Executive (RME), or emerging technology assessment initiatives.
  • Active Top Secret clearance with SCI eligibility preferred.

Work Environment and Physical Demand:
  • This work will be conducted in an office environment. Must be able to sit for prolonged periods of time.
  • Location and Schedule:
    • Must be within commuting distance of Fort Meade, MD and able to work on-site on a hybrid schedule.
      • 1 day/week onsite required with additional days onsite if the project requires.

The projected salary range for this position is $155,000+ annually. Final compensation will be determined based on factors including years of relevant experience, active security clearance level, certifications, technical skillset, contract requirements, and overall qualifications.
At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally.
  • 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it.
  • Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact.
  • 401(k) with Match: We match 3% of your contributions with immediate vesting.
  • Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents.
  • Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs.
  • Parental Leave: 15 days of fully paid leave for new parents, because family matters.
  • Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving.
  • Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right.
  • Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create.

At AGE, you'll do work that matters, supported by a company that delivers for its people.