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.