AI Process Integration Engineer

Position Description: AI Process Integration Engineer

Job Type: Full-Time

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Job Summary

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.

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Key Responsibilities

1. AI Tool Evaluation & Configuration

Assess approved AI/ML tools currently available on the customer network and evaluate their operational readiness, configuration gaps, and underutilization.

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 before/after process documentation with measurable performance targets tied directly to mission outcomes.

Maintain SOPs and workflow guides...