Bachelor's degree in Business Administration, Instructional Design, Information Systems, or related field.
5+ years of experience in technical training, instructional design, or AI/ML education.
Strong understanding of GenAI platforms and traditional AI/ML concepts.
Experience designing and delivering training for both technical and non-technical audiences.
Excellent communication, facilitation, and stakeholder engagement skills.
Responsibilities
Design and implement comprehensive AI training curricula for various roles.
Develop hands-on workshops, e-learning modules, and documentation on AI concepts.
Create onboarding materials for new users of the enterprise AI platform.
Conduct live training sessions, webinars, and interactive labs to build user confidence.
Facilitate scenario-based learning and use case walkthroughs to apply AI tools practically.
Maintain and update training materials to reflect technological advancements and policies.
Partner with leadership and IT to align training initiatives with strategic goals.
Benefits
Opportunity to work with cutting-edge AI technologies.
Engagement with a prominent independent federal agency.
Focus on ethical AI practices and workforce readiness.
Collaborative environment with cross-functional teams.
Professional development through knowledge-sharing forums and workshops.
Full Job Description
Job Title: AI Training Specialist Location: Chantilly, VA.
Position Summary:
We are seeking a knowledgeable and experienced AI Training Specialist to lead the development and delivery of training programs that support the adoption and responsible use of AI technologies across a prominent independent federal agency focused on financial system stability.
This role will be critical in enabling workforce readiness for AI-driven transformation, including Agentic AI, Generative AI (GenAI), and traditional AI systems. The specialist will design learning experiences that build technical fluency, promote ethical AI practices, and empower cross-functional teams to leverage AI tools effectively.
Key Responsibilities:
Training Program Development
Design and implement comprehensive AI training curricula tailored to various roles (e.g., analysts, engineers, policy staff).
Develop hands-on workshops, e-learning modules, and documentation covering GenAI, Agentic AI, and traditional AI concepts.
Create onboarding materials for new users of the enterprise AI platform.
Delivery & Facilitation
Conduct live training sessions, webinars, and interactive labs to build user confidence and capability.
Facilitate scenario-based learning and use case walkthroughs to demonstrate practical applications of AI tools.
Provide one-on-one coaching and support for teams adopting AI in their workflows.
Content Management & Updates
Maintain and update training materials to reflect evolving technologies, platform features, and governance policies.
Collaborate with technical teams to translate complex AI concepts into accessible learning content.
Monitor learner feedback and performance to continuously improve training effectiveness.
Stakeholder Engagement
Partner with leadership, IT, and HR to align training initiatives with strategic goals and workforce development plans.
Promote AI literacy and responsible use across the organization through internal campaigns and learning communities.
Represent the client in inter-agency knowledge-sharing forums and workshops.
Required Qualifications:
Bachelor's degree in Business Administration, Instructional Design, Information Systems, or a related field.
5 years of experience in technical training, instructional design, or AI/ML education.
Strong understanding of GenAI platforms and traditional AI/ML concepts.
Experience designing and delivering training for technical and non-technical audiences.
Excellent communication, facilitation, and stakeholder engagement skills.
Preferred Skills:
Familiarity with Agentic AI systems and multi-agent orchestration.
Experience in public sector or regulated environments.
Knowledge of adult learning principles and instructional technologies.
Proficiency with learning management systems (LMS) and content authoring tools.
