AI Process Integration Engineer
Listed on 2026-07-01
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IT/Tech
AI Engineer (Applied/Software), AI Business & Operations -
Engineering
AI Engineer (Applied/Software), AI Business & Operations
AI Process Integration Engineer
The AI Process Integration Engineer sits at the intersection of artificial intelligence deployment and mission workflow optimization — responsible for bridging the gap between approved, available AI/ML tools and their effective operational use across intelligence analysis, targeting, and screening and vetting workflows. This role does not wait for new tools to be approved; it maximizes the mission value of what is already on the network by redesigning the processes around those tools, configuring them for mission-specific use cases, and ensuring analysts can leverage them from Day 1.
Key Responsibilities- AI Tool Evaluation & Configuration
- Workflow Analysis & Process Redesign
- Prompt Engineering & Tool Enablement
- Performance Measurement & Continuous Improvement
- Stakeholder Collaboration & Change Management
Education:
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
Experience:
10+ years of experience in AI/ML 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 AI/ML 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 TS/SCI with CI Polygraph required.
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