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AI Process Integration Engineer

Job in Sterling, Loudoun County, Virginia, 20163, USA
Listing for: Quick Services LLC
Full Time position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Cybersecurity
Job Description & How to Apply Below
CLEARANCE REQUIRED TSSCI with CI Poly This job is located at McClean VA Job description 1 AI Tool Evaluation & Configuration Assess approved AIML tools currently available on the customer network and evaluate their operational readiness configuration gaps and under utilization Configure optimize and integrate approved tools into existing analytic and targeting workflows without introducing unapproved capabilities or triggering additional review board requirements Develop mission specific use case configurations that align tool functionality to analyst tasks entity triage credibility scoring pattern correlation document production and RFI processing Maintain tool performance baselines and identify configuration adjustments that improve output accuracy speed and analyst adoption 2 Workflow Analysis & Process Redesign Map current state analytic and operational workflows to identify where approved AI tools can eliminate manual bottlenecks reduce redundant data entry and compress cycle times Design optimized future state workflows that embed AI tool touchpoints at the highest friction points in the intelligence production and targeting cycle Develop beforeafter process documentation with measurable performance targets tied directly to mission outcomes Maintain SOPs and workflow guides that reflect the integrated AI enabled process architecture 3 Prompt Engineering & Tool Enablement Build mission specific prompt libraries Boolean to AI logic translation guides and structured templates that make approved tools immediately usable by analysts without requiring technical expertise Develop a Document Support Playbook Suite covering draft assist tradecraft review source synthesis consistency checking and classification review workflows Ensure all prompt engineering products are tool agnostic and adaptable to any customer approved platform upgrade or replacement 4 Performance Measurement & Continuous Improvement Establish KPIs tracking AI tool utilization rates analyst productivity gains cycle time reductions and product quality improvements Provide leadership with data driven evidence supporting review board decisions to expand AI tool access or activate additional use cases Apply Lean Six Sigma and continuous improvement methodologies to iteratively refine AI integrated workflows based on operational feedback 5 Stakeholder Collaboration & Change Management Work directly with analysts targeters mission leads and IT teams to drive adoption of AI integrated workflows through hands on demonstration embedded support and structured enablement Develop transition plans and training materials that ensure smooth integration of AI tools into daily mission operations with zero workflow disruption Serve as the operational bridge between the technical AIML engineering team the analytic workforce and program leadership

Required Qualifications Education Bachelors degree in Computer Science Information Systems Engineering or a related field Experience 10 years of experience in AIML tool deployment systems integration or business process engineering; at least 5 years supporting IC DoD or Federal law enforcement analytic environments Technical Skills Proficiency in AIML tool configuration prompt engineering workflow modeling BPMN and data pipeline management; experience with IC approved analytic platforms and multi classification network environments Methodologies Working knowledge of Lean Six Sigma Agile and continuous improvement frameworks applied to operational or intelligence environments Soft Skills Strong analytical thinking clear written and verbal communication and the ability to translate technical AI capability into practical mission value for non technical analysts Clearance Active TSSCI with CI Polygraph required Why work for QSL Our founders Mel Wick and Bill Cronin retired from storied careers in the Special Operations Forces SOF Community Like many Americans and military veterans they felt a strong desire to support the nations response to the 9112001 terrorist attacks on the World Trade Center and the Pentagon in any way they could They established QSL to do just that Stay in the Fight QSL is built on…
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