aimlroles

AI/ML Integration Specialist

Guidehouse Open · verified Oct 22, 2026
US - VA, McLean Full-time Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Guidehouse. US - VA, McLean · full-time · no salary stated · we estimate $132,450–$205,151 across the United States.

Estimated pay

Guidehouse has not published a salary for this role. The figure below is our estimate, not theirs.

$132,450 – $205,151
What the middle half of mid-level AI engineering roles in the United States paid, among postings that did state a salary.
Worked out from 376 postings that stated pay, median $165,000. Last updated Oct 22, 2026.
RoleAI Engineering
SeniorityMid-level
LocationUS - VA, McLean
EmploymentFull-time
PostedSep 22, 2026 · 4w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Choose suitable AI tools and map where they can connect into existing system designs
  • Plan staged AI adoption, flagging technical risks, integration challenges and needed resources
  • Align data structures, shape pipelines and document checks for AI data quality, security and compliance
  • Set up APIs and data connectors, then check AI workflows against operational needs
  • Define ongoing tests and monitoring for AI systems, including vulnerability reviews

What you bring

  • You hold an active, maintained Secret clearance or higher
  • You have a bachelor’s degree and at least five years integrating AI and ML in federal or defense settings
  • You hold the AWS Machine Learning Specialty certification
  • You also have TensorFlow Developer certification or an equivalent AI/ML technical credential

Who this fits

This mid-level role suits someone who can guide AI integration work across federal or defense systems, from data design through testing and monitoring. Travel may reach ten percent.

From the employer

Job Family:

Operational Effectiveness Consulting


Travel Required:

Up to 10%


Clearance Required:

Active Secret

What You Will Do:

The AI/ML Integration Specialist is responsible for the technical direction and execution of all tasks related to Artificial Intelligence (AI) and Machine Learning (ML) integration across the enterprise. This role focuses on incorporating approved AI capabilities into existing toolsets and infrastructure to enhance mission execution while maintaining security, compliance, and operational effectiveness. The Specialist evaluates AI tools, supports data schema and pipeline design, configures APIs and data connectors, and establishes frameworks for continuous verification, testing, and monitoring of AI-enabled solutions.


What You Will Need:


  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance
  • Bachelor’s degree
  • Minimum of FIVE (5) years of experience integrating advanced AI and ML capabilities within federal or defense environments.
  • AWS Machine Learning Specialty certification.
  • TensorFlow Developer or equivalent AI/ML technical certification.
  • Active Secret clearance or higher.
  • Demonstrated experience identifying and evaluating AI tools for integration suitability and analyzing system architectures to determine optimal AI integration points.
  • Experience drafting technical roadmaps to support phased AI adoption, including identifying technical risks, interoperability challenges, and resource requirements.
  • Experience supporting data schema and mapping alignment, designing or modifying data pipelines, and drafting procedures to ensure data quality, security, and compliance for AI use.
  • Experience assisting with API and data connector configuration for AI services, defining AI interface requirements, and validating AI-enabled workflows against operational needs.
  • Experience designing continuous verification frameworks, defining test and evaluation criteria, and conducting technical monitoring and vulnerability assessments for AI systems.


What Would Be Nice To Have:


  • Experience integrating AI capabilities into acquisition, portfolio management, or industrial base analytic tools.
  • Familiarity with defense data and security policies and AI governance practices, including compliance requirements for AI/ML deployment.
  • Hands-on experience with MLOps practices, including model deployment, monitoring, and performance management in production environments.
  • Strong collaboration skills, with the ability to work closely with enterprise architects, data engineers, cybersecurity specialists, and mission owners to align AI solutions with operational workflows and risk tolerances.
  • Master’s degree in Computer or Systems Engineering


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.