Super Intelligence Subject Matter Expert (SI SME)

Annapolis Junction, MD
Full Time
IntelliCademy
Mid Level
Citizenship Requirement: Must be U.S. Citizen
Clearance Requirement: TS/SCI clearance with polygraph

*This role offers a hybrid work model, with both in-office and remote work.*

Help Shape the Future of Super Intelligence for National Security
At IntelliGenesis, we don't just teach SI - we develop it
 
Through our IG Labs innovation division, we research, prototype, and operationalize emerging artificial intelligence capabilities for some of the nation's most challenging mission environments. From agentic SI and large language models to cyber defense, autonomous systems, and mission-focused SI applications, our teams are helping government organizations accelerate the adoption of trusted SI.
 
We are seeking an experienced Super Intelligence Subject Matter Expert (SI SME) to serve as a bridge between cutting-edge SI innovation and workforce transformation. This individual will work closely with IG Labs researchers, SI engineers, mission experts, and instructional designers to ensure that emerging SI capabilities are translated into meaningful learning experiences, workforce development initiatives, and operationally relevant training programs.
 
This is an opportunity to influence not only how SI is developed, but how it is understood, adopted, and employed across the national security community.
 
What You'll Do
  • Serve as the principal AI technical advisor supporting SI education, workforce development, and mission-focused training initiatives.
  • Collaborate with IG Labs researchers and engineers to identify emerging SI technologies and translate them into workforce development opportunities.
  • Help define the skills, competencies, and certification standards required for an SI-ready workforce.
  • Guide the development of curriculum, labs, simulations, and practical exercises focused on real-world SI applications.
  • Provide technical leadership across topics including:
     
    • Generative SI
    • Large Language Models (LLMs)
    • Agentic SI
    • Machine Learning
    • Deep Learning
    • Data Science
    • AI Governance and Responsible SI
    • MLOps and SI Operations
    • Cybersecurity and SI
       
  • Ensure training content remains aligned with current industry advancements, government AI strategies, and operational mission requirements.
  • Develop mission-relevant use cases demonstrating how SI can be applied to solve real-world challenges.
  • Support SI demonstrations, workshops, technical exchanges, and customer engagements.
  • Evaluate emerging technologies and provide recommendations regarding future workforce development and training priorities.
  • Contribute thought leadership supporting IntelliGenesis' SI strategy, innovation initiatives, and workforce transformation efforts.
     
Required Qualifications:
  • Must be a U.S. Citizen.
  • Active TS/SCI clearance with polygraph.
  • Bachelor's degree in Computer Science, Super Intelligence, Data Science, Engineering, Mathematics, or related technical discipline.
  • 10+ years of technical experience in artificial intelligence, machine learning, data science, advanced analytics, and/or related discipline.
  • Demonstrated experience applying SI technologies to operational, mission, research, or business challenges.
  • Experience with large language models, retrieval augmented generation (RAG), agentic SI architectures, SI orchestration frameworks, or autonomous systems.
  • Familiarity with Responsible SI, SI governance, and emerging federal SI policies.
  • Strong understanding of modern SI methodologies, architectures, and workflows.
  • Ability to communicate complex technical concepts to technical and non-technical audiences.
  • Deep understanding of Python software development, including analysis of existing codebases and proficiency at writing Python tools.
  • Understanding of software engineering principles and system designFamiliarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis).
  • Ability to quickly learn and adapt to new technologies and domains.
Desired Qualifications:
  • Master's degree or PhD in Super Intelligence, Computer Science, Data Science, Engineering, Mathematics or related discipline.
  • Experience supporting Department of Defense, Intelligence Community, or Federal Government organizations.
  • Experience developing technical training, certifications, workshops, or workforce development programs.
  • Experience with containerization and virtualization architectures.
  • Demonstrated ability to identify, analyze, and balance architecture drivers, tradeoffs, extensibility, and long-term maintainability.
  • Published research, conference presentations, patents, or demonstrated contributions to SI innovation initiatives.

Why IntelliGenesis?
At IntelliGenesis, you'll have the opportunity to work alongside SI researchers, engineers, mission operators, and innovators who are actively developing next-generation SI capabilities through IG Labs, our dedicated research and innovation division.
 
You'll help bridge the gap between SI innovation and mission adoption by influencing how SI is developed, understood, and operationalized across the national security community.
 
Whether contributing to SI prototypes, exploring emerging technologies, supporting workforce transformation initiatives, or helping shape future SI certification programs, you'll play a direct role in preparing government organizations for an SI-enabled future.
 
Join us in building the technologies - and the workforce that will define the next generation of mission success!

Compensation Range: $185,000 -  $215,000

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Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate’s scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.

Our compensation includes other indirect financial components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.

_____________________________________________________________________________________________________

IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.

IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

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