AI Process Integration Engineer

Geo Owl; Cedar View (VA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health Insurance (Geo Owl pays 80%+ of

401k matching

Dental, Vision, and other supplemental

Disability and life insurance

Peer-to-Peer spot bonuses

PTO 120 hours per year plus federal

Job summary

Geo Owl is seeking an AI Process Integration Engineer to bridge AI/ML tool deployment with mission workflows in a full-time capacity. The role focuses on maximizing value from existing tools by redesigning processes, configuring tools for mission-specific use, and ensuring analysts can leverage them from Day 1.

Responsibilities include evaluating tool readiness, redesigning workflows, developing prompt libraries, and measuring performance with Lean Six Sigma guidance.

Qualifications

• Bachelor’s degree in a technical field is required.
• 10+ years of experience in AI/ML tool deployment, systems integration, or business process engineering.
• Experience supporting IC/DoD or Federal analytic environments is preferred.
• Proficiency in AI/ML tool configuration and prompt engineering.
• Familiarity with Lean Six Sigma, Agile, and continuous improvement frameworks.

Responsibilities

• Evaluate and configure approved AI/ML tools for operational readiness and gaps.
• Redesign workflows to embed AI tools at high-friction points while maintaining compliance.
• Build mission-specific prompt libraries and templates for immediate analyst use.
• Define performance KPIs and drive data-driven improvements to tool usage and output quality.
• Collaborate with analysts, IT, and leadership to enable seamless AI-enabled operations.

Skills

Analytical thinking

Clear communication

Translate technical AI capability into

Lean Six Sigma knowledge

Agile

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field

Tools

AI/ML tool configuration

Prompt engineering

BPMN workflow modeling

Data pipeline management

IC-approved analytic platforms

Job description

Position Description: AI Process Integration Engineer

Job Type: Full-Time

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.

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 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.

Required Qualifications

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.

Benefits:

• Health Insurance (Geo Owl pays 80%+ of the premium).
• 401k matching.
• Dental, Vision, and other supplemental insurance plans available.
• Company‑paid short‑term and long‑term disability and life insurance.
• Peer‑to‑Peer spot bonuses.
• 120 hours of PTO per year plus federal holidays.

Fully Paid Military Leave:

*You make your full Geo Owl salary while you are on military duty*

Exiting the Military? Apply to our Military Transition Program for key insights into making the transition to civilian life from people who have been there before!

Engage with Your Team!

About Us:

Our mission is to empower EVERYONE with geospatial technologies.

Geo Owl is a premier provider of geospatial intelligence services, delivering cutting‑edge solutions to the Department of Defense, intelligence agencies, and enterprises around the globe. Our comprehensive products and services include advanced geospatial analysis, imagery intelligence, remote sensing analysis, data science, and space‑based custom intelligence solutions. At Geo Owl, we are dedicated to leveraging the latest analytic principles and technology to support and enhance the missions of our clients.

Our core values—innovation, integrity, and excellence—drive everything we do. We are committed to pushing the boundaries of geospatial intelligence to ensure our clients receive the most accurate, timely, and actionable intelligence possible. Integrity is at the heart of our operations; we uphold the highest standards of ethics and accountability in our work. Striving for excellence is not just a goal but a standard; we consistently aim to exceed expectations in every project.

Geo Owl’s culture is built on collaboration, continuous learning, and respect. We cultivate an environment where team members can grow both personally and professionally. Our team is composed of passionate, dedicated experts who are always ready to support each other. We value work‑life balance, offering flexible working arrangements and a supportive workplace where everyone feels valued.

At Geo Owl, we invest in our employees’ growth and development. We provide ongoing training, career advancement opportunities, and a platform to work on impactful projects that make a real difference. Our team enjoys a strong sense of camaraderie and purpose, knowing that their work contributes to national security and global stability. If you are looking for a dynamic, rewarding career in geospatial intelligence, Geo Owl is the place for you. Join us and be part of a team that is shaping the future of geospatial intelligence.

A Note From Our CEO:

Our 14 Principles:

Equal Opportunities

Geo Owl is an equal opportunity employer and does not discriminate on the basis of race, color, religion, creed, sex, age, sexual orientation, national origin, disability, marital status, military status, genetic predisposition, or any other basis protected by law.

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