Generative AI and LLMS Test Planner

MINIMUM SKILLS & REQUIREMENTS:3-8 years' experience with use and employment of Generative AI and LLMS interactions, platforms, and architectures5-8 years' test planning experienceExcellent written and verbal skillsTS/SCI clearanceDESIRED SKILLS:Previous T&E planning experienceExperience with Tactics, Techniques, and Procedures (TTP) developmentPrevious experience in Department of Defense Staff processesPrevious Space Force experienceSRC IS A CONTRACTOR FOR THE U.S. GOVERNMENT, THIS POSITION WILL REQUIRE U.S. CITIZENSHIP AS WELL AS, A U.S. GOVERNMENT SECURITY CLEARANCE AT THE SECRET LEVEL WITH TOP SECRET / SCI ELIGIBILITYABOUT USScientific Research Corporation is an advanced information technology and engineering company that provides innovative products and services to government and private industry, as well as independent institutions. At the core of our capabilities is a seasoned team of highly skilled engineers and scientists with multidisciplinary backgrounds. This team is challenged daily to provide cutting edge technology solutions to our clients.Scientific Research Corporation offers a competitive salary, an extensive benefits package and a work environment that encourages excellence. For positions requiring a security clearance, selected applicants will be subject to a government security investigation and must meet eligibility requirements for access to classified information.DIVERSITY & INCLUSIONWe strongly believe in the abundance of differences among individuals. We value different points of view and appreciate diverse perspectives. We truly believe this is what makes our organization inclusive and more responsive to the needs of our diverse customers.EQUAL OPPORTUNITY EMPLOYERScientific Research Corporation is an equal opportunity and affirmative action employer that does not discriminate in employment. All qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, age, sexual orientation, gender identity, or national origin, disability or protected veteran status.Scientific Research Corporation endeavors to make

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accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact

srchr@scires.com

for assistance. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.[#CJ

#LI-DH1]FILLING THIS POSITION IS CONTINGENT UPON FUNDINGPRIMARY DUTIES & RESPONSIBILITIES:Serve as the Generative AI and LLMS Test Planner for the GAIMI Quick Reaction Test (QRT) project, designed to develop and test tactics, techniques, and procedures (TTP) that capture the use, maintenance, and mix of Generative Artificial Intelligence in Large Language Models (LLMs) to help the DOD staff structure with more accurate and efficient queriesAdvise and assist the GAIMI QRT Contract Project Manager (PM) and Government Test Director and the contract team in the planning, development, and execution of all contract deliverables CDRLs IAW the JT&E Handbook and the GAIMI QRT performance work statementResponsible for the development of the project plan, test planning to include test venue coordination, Risk Reduction Events, Detailed Test Plan, Test Events, test analysis and reportsAssist the PM, Test Director and contract team with the team's TTP development efforts to include research, hosting writing groups and Joint Warfighters Advisory Groups (JWAGs)Other responsibilities include assisting with the team's test product (TTP) transitions, and final out briefings of the test project's findings, conclusions, and recommendations to senior leadershipServe as a member of a diverse team consisting of test planners, TTP developers, subject matter analysts and the team's Operations Research Systems Analyst (ORSA)Members of the team shall include experience in DoD Staff processes, Generative Artificial Intelligence (GAI) - Large Language Models (LLMs) deployment, interactions, platforms, and architectures, and engineering

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