A.I. Process Integration Engineer - SME - TS & CI Poly required to apply - NCR

Bow Wave LLC

Reston (VA)

On-site

USD 215,000 - 225,000

Full time

14 days+

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Job summary

Bow Wave LLC is seeking an AI Process Integration Engineer to bridge approved AI/ML tools with mission workflows across intelligence analysis, targeting, and screening. The role focuses on redesigning processes around AI tools and ensuring analysts can use them from Day 1.

The ideal candidate brings 10+ years in AI/ML tool deployment, plus TS/SCI with CI Polygraph. This full-time position offers hands-on tool configuration, Lean Six Sigma practices, and collaboration with analysts and IT teams.

Qualifications

  • Bachelor’s degree in CS, IS, Engineering, or related field.
  • 10+ years in AI/ML tool deployment and systems integration.
  • 5+ years in IC/DoD or Federal analytic environments.
  • Proficiency in AI/ML tool configuration and prompt engineering.
  • Lean Six Sigma, Agile, and continuous improvement knowledge.
  • Strong written and verbal communication; translate tech to non-technical analysts.
  • Active TS/SCI clearance with CI Polygraph.

Responsibilities

  • AI Tool Evaluation & Configuration: assess approved AI/ML tools and configure for mission-specific use cases.
  • Workflow Analysis & Process Redesign: map analytics workflows and design optimized processes; maintain SOPs.
  • Prompt Engineering & Tool Enablement: build prompts, guides, and templates for tool use.
  • Performance Measurement & Continuous Improvement: establish KPIs and track gains using data-driven methods.
  • Stakeholder Collaboration & Change Management: coordinate with analysts, mission leads, and IT; deliver demos and training.

Skills

AI/ML deployment
Workflow modeling
Lean Six Sigma
Agile
Prompt engineering
Data pipelines
Stakeholder collaboration
TS/SCI clearance

Education

Bachelor’s degree in CS/IS/Engineering

Tools

BPMN

Job description

AI Process Integration Engineer

Job Type: Full-Time

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. The role maximizes the mission value of what is already on the network by redesigning 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: Assess approved AI/ML tools on the network, evaluate operational readiness and configuration gaps, configure tools for mission-specific use cases, and maintain performance baselines.
  • Workflow Analysis & Process Redesign: Map current analytic workflows, identify AI tool integration points to eliminate manual bottlenecks, design optimized workflows, document before/after processes, and maintain SOPs.
  • Prompt Engineering & Tool Enablement: Build prompt libraries, Boolean‑to‑AI logic guides, structured templates, and a Document Support Playbook Suite, ensuring tool‑agnostic adaptability.
  • Performance Measurement & Continuous Improvement: Establish KPIs, track utilization and productivity gains, provide data‑driven evidence for review board decisions, and apply Lean Six Sigma methods to refine workflows.
  • Stakeholder Collaboration & Change Management: Work with analysts, targeters, mission leads, and IT teams; conduct demonstrations, support adoption, develop training materials, and serve as the operative bridge between technical teams and leadership.
Required Qualifications
  • Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
  • Experience: 10+ years in AI/ML tool deployment, systems integration, or business process engineering; at least 5 years in IC, DoD, or Federal law enforcement analytic environments.
  • Technical Skills: Proficiency in AI/ML tool configuration, prompt engineering, workflow modeling (BPMN), data pipeline management, experience with IC‑approved analytic platforms and multi‑classification networks.
  • 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.
  • Salary: $215,000 – $225,000 per year.
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