Artificial Intelligence (AI) Engineer
$155,000–$155,000 year
HybridFort Meade, Maryland, United States
Job Summary
Conduct technology research, evaluate commercial and government AI solutions, and design proof-of-concept demonstrations to support DISA modernization initiatives. Develop technology evaluation plans, operational use cases, and technical assessment reports while applying systems engineering principles throughout testing and transition activities. Collaborate with government stakeholders, industry partners, and combatant commands to present findings and brief executive leadership on emerging technologies. Design AI prototypes, assess model performance and security, and assist in transitioning successful capabilities into operational environments. Requires 10 years of experience, Top Secret clearance, and hybrid onsite schedule at Fort Meade, MD.
Required Qualifications
- 10 Years of experience
- 5+ years supporting Artificial Intelligence, Machine Learning, Systems Engineering, Emerging Technologies, Cybersecurity, or Cloud Engineering
- Bachelor's degree in computer science, Artificial Intelligence, Systems Engineering, Cybersecurity, Information Technology, or a related technical field (or equivalent experience)
- Must have and maintain a current DoD Top Secret Clearance
- Current DoD 8140 baseline certification (e.g., Security+ CE, CEH)
- 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
Desired Qualifications
- 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
- 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
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