Job description

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.

Requirements

Must-haves

Operational Effectiveness Consulting
Active Secret
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.
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.
Master’s degree in Computer or Systems Engineering
Personal and Family Sick Time & Company Paid Holidays
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

Nice-to-haves

Position may be eligible for a discretionary variable incentive bonus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningawsapi

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave