Job Description:
The Artificial Intelligence Subject Matter Expert (AI SME) provides authoritative technical expertise in artificial intelligence and machine learning to support the design, development, delivery, and evaluation of training programs. The AI SME ensures instructional content is technically accurate, current with industry and DoW-relevant AI practices, and aligned with mission needs, operational use cases, and workforce competency requirements.
- Serve as the primary technical authority for artificial intelligence and machine learning concepts supporting training and education programs.
- Provide expert input to Instructional Systems Designers (ISDs) during training needs analysis, curriculum design, and content development.
- Validate technical accuracy of AI-related training materials, including lesson plans, courseware, assessments, case studies, and job aids.
- Define AI competencies, learning objectives, and performance standards aligned with DoW mission requirements and workforce roles.
- Translate complex AI/ML concepts (e.g., supervised/unsupervised learning, neural networks, data pipelines, model evaluation, ethics) into instructionally appropriate and audience-specific content.
- Support development of training across multiple delivery modalities, including classroom, virtual instructor-led training (VILT), distributed learning, and eLearning.
- Provide technical guidance on AI tools, platforms, datasets, and workflows used in demonstrations, labs, or simulations.
- Review and approve instructional products for technical rigor, relevance, and currency with evolving AI standards and practices.
- Advise program leadership on emerging AI trends, risks, and best practices relevant to training objectives.
- Support pilot sessions, instructor preparation, and post-delivery evaluations as required by the contract.
- Must be a U.S. Citizen
- TS/SCI clearance with polygraph
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical discipline.
- 10+ years of professional experience in artificial intelligence, machine learning, data science, or related fields.
- Demonstrated expertise in AI/ML concepts, tools, and applied use cases.
- Experience supporting or contributing to technical training, education, or workforce development initiatives.
- Master’s degree or PhD in AI, Machine Learning, Computer Science, or a related field.
- Experience supporting DoW, federal, or defense-related programs, especially in training or education contexts.
- Familiarity with DoW AI initiatives, ethical AI principles, or responsible AI frameworks.
- Experience working with instructional design teams or delivering technical training to diverse audiences.
Compensation Range: $200,000 - $230,000
What We Do
Our Mission: Our Mission is to enrich our customers’ missions by applying our multi-disciplined analysts, mission-focused software developers, and machine learning data scientists to solve and support our customers’ most difficult challenges. Our dedication to our employees reinforces our commitment to the customers’ mission success and National Security. Our ability to effectively collaborate and innovate, reinforces our partnership with the customer. Our Core Competencies: We provide technical expertise to meet customer mission challenges in: * Offensive and Defensive Cyber Services * Data Science and Decision-Making Analytics * National Security Cyber Training * Intelligence Analysis * Intelligence Solutions Engineering Our Employees: Our personnel are cross-functional subject matter experts (SMEs) who understand the development process and serve as liaisons between developers and the operational community to enrich technologies with in-depth domain understanding and innovative perspectives. Our program managers are PMI® certified who possess strong technical and mission backgrounds. We are the Small Business Employer of Choice! Check out our awards: Best Places To Work Winner! 2012 - 2019 – Baltimore Sun Top Work Places 2018 - Inc Magazine - Top Work Place 2016 - 2018 - Washington Post Top Work Places 2016 - ABA – Silver Stevie Winner – Veteran-Owned Business of the Year 2011 - 2015 – Baltimore Business Journal - Best Places to Work 2014 - Disabled American Veterans (DAV) National Small Business of the Year 2013 - Washingtonian Magazine 50 Greatest Places to Work 2012 - Chesapeake Regional Tech Council - Best Places to Work
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