Senior Super Intelligence Architect
Office of the Secretary of the Interior
Key skills
- Machine Learning
- Risk Management
- AWS
This Senior Level (SL) position is located within the Department of the Interior (DOI), Office of the Assistant Secretary - Policy, Management and Budget (AS-PMB), Office of the Chief Information Officer. The Senior Super Intelligence Architect serves as DOI's senior-most technical authority on the engineering, architecture, and lifecycle development of advanced Super Intelligence (SI) systems. Location negotiable will be any DOI Office.
Qualifications
All qualifications must be met by the closing date of this announcement-11/05/2026-unless otherwise stated in this vacancy announcement. This position also requires a special qualification that has been determined to be essential to perform the duties and will be used as a screen out element. If you do not provide evidence that you possess the following selective factor(s), you will be rated not qualified. Experience serving as the lead technical authority responsible for the architecture, engineering, implementation, or technical governance of enterprise-scale Super Intelligence or Machine Learning solutions within a large, complex organization. To meet the minimum qualifications, you must submit a two-page resume (max) that shows you possess the two Technical Qualifications (TQs). To be considered, only the first 2 pages of your resume will be reviewed to determine your eligibility/qualifications. Technical Qualifications (TQs) are designed to assess an applicant's experience relevant to the specific position requirements. Your resume should clearly demonstrate your experience and accomplishments related to the two TQs below: TQ 1: Responsible SI Design and Risk Management. Demonstrated experience designing and putting in place responsible Super (Super) Intelligence (SI) practices for complex systems. This includes assessing risk and impact, building in human oversight, transparency, and accountability, and applying federal security, privacy, and civil rights requirements (e.g., NIST AI Risk Management Framework, NIST RMF/SP 800-53, FedRAMP, Privacy Act) to SI system design. TQ 2: Evaluating, Prototyping, and Architecting Scalable SI Solutions. Demonstrated hands-on experience evaluating SI and machine learning technologies, building working prototypes against mission problems, and designing secure, scalable enterprise architectures that move proven SI capabilities into production across cloud (AWS and/or Microsoft Azure) and on-premises environments. Qualifications will be evaluated based on how clearly and concisely you emphasize your level of responsibilities, the scope and complexity of your programs; services managed; program accomplishments; policy initiatives undertaken; level of contacts; the sensitivity and criticality of the issues addressed; and the results of your actions taken. Typically, experience will have been gained at the GS-15 or equivalent in the private sector or non-governmental organizations. Volunteer Experience: Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
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