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# Artificial Intelligence (AI) Engineer

- **Company:** Age Solutions
- **Location:** Fort Meade, MD, United States
- **Experience:** Expert
- **Salary:** $155,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Systems Engineering, Computer Vision, Microsoft Azure, Cloud Computing, Cloud Engineering, Cyber Security, Identity and Access Management, Machine Learning, Natural Language Processing, Cloud Services, Zero Trust Network Access, Azure Machine Learning, Cloud Platform System, High Performance Computing, Large Language Models, Multi-Cloud, Generative AI, Containerization, Kubernetes, Information Technology, Enterprise Integration, Devsecops
- **Published:** July 24, 2026
- **Apply:** https://www.nexxt.com/job.asp?id=3330989998&tx=UT5955TTD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Experience:
 + 10 Years of experience
o 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).

 * Security Clearance:
 + Must have and maintain a current DoD Top Secret Clearance.
 * Certifications:
 + Current DoD 8140 baseline certification (e.g., Security+ CE, CEH)
o 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., * 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.

## Description

* 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.


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