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AI Process Integration Engineer

Peraton -
McLean, VA

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Job Details

$146,000 - $234,000 a year

Benefits

Health savings account
Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Parental leave
Employee assistance program
Vision insurance
Life insurance

Qualifications

AI models
Tooling
Data analysis skills
Six Sigma methodology implementation
Configuration management
AI platforms (beyond public GPTs)
Machine learning projects
Prompt engineering
Maintaining data pipelines
Process mapping
Process modeling
Machine intelligence
Agile
TS/SCI with Polygraph
AI-driven automation
Quality improvement programs in engineering
Intelligence community
Stakeholder management

Full Job Description

About Peraton

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

About The Role

Peraton is seeking an AI Process Integration Engineer. This position will sit 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 Deployment & 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.

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.

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.

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.

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.

****This position is contingent on contract award***

Qualifications

Required Qualifications

Active TS/SCI with Polygraph required
12 years of experience, may have supervisory or management experience
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
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.
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.
Working knowledge of Lean Six Sigma, Agile, and continuous improvement frameworks applied to operational or intelligence environments.
Strong analytical thinking, clear written and verbal communication, and the ability to translate technical AI capability into practical mission value for non-technical analysts.

Details

Target Salary Range: $146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Apply Now

Refine Your Search

process integration engineer jobs

AI Process Integration Engineer

Process Integration Development Engineer

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Sr. / Principal AEGIS CLASS Engineer

Senior Staff Electrical Engineer

Mechanical Engineer IV

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Customer Engineer

Senior Systems Security Engineer

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Sr. Electrical Engineer

Project Engineer

Sr Engineer, IPT - Electrical & Avionics Systems

Sr Systems Engineer

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