AI Process Integration Engineer

Responsibilities

Assess approved AI/ML 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 before/after 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 AI/ML engineering team, the analytic workforce, and program leadership.

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.

• Combined Paid Time Off (PTO)
• Disability (Short‑Term and Long‑Term)
• Vision Insurance (CONUS‑based employees)
• Flexible Spending Account (FSA)
• 401(k) Retirement Plan
• Employee Referral Bonus Program
• Employee Discount Programs
• Critical Illness and Accident Insurance
• Employee Assistance Program

We are an Equal Opportunity Employer. We do not and will not discriminate in employment and personnel practices based on race, sex, age, disability, veteran status, religion, national origin or any other basis prohibited by applicable law. Hiring, transferring, and promotion practices are performed without regard to the above listed items. EEO/AAP, M, F, V,

D.