AI/ML Architect

Aptive Resources

AI/ML Architect designing governed enterprise AI pipelines for Aptive’s federal Veterans Affairs healthcare and benefits programs. Shaping MLOps, model risk management, and responsible AI adoption.

Posted 8/5/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML architecture and product management, with a strong focus on establishing enterprise-level pipelines and compliance with federal AI governance standards. Proficient in MLOps frameworks and CI/CD practices for scalable ML system designs.

Highest-signal resume keywords

AI/ML ArchitectureMLOps FrameworksCI/CD PracticesFederal AI GovernanceModel Risk Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML Product ManagementData Science EngineeringModel VersioningPipeline OrchestrationAutomated Testing

Soft Skills

CollaborationTechnical OversightPresentation Skills

Tools & Technologies

MLflowKubeflowSageMakerAzure MLDataRobot

Certifications & Qualifications

VA Position of Public Trust Suitability Clearance

Industry Keywords

Federal Agency ClientsHealthcareFinanceDefenseHIPAA Compliance

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

Design, establish, and maintain enterprise-level AI/ML product management pipelines across the full model lifecycle, from data ingestion and experimentation through deployment, monitoring, and decommissioning
Develop and document AI/ML architecture blueprints, reference architectures, and technical standards aligned with VA governance standards and federal AI policy
Partner with VA AI governance bodies, program offices, and contracting leadership to assess AI product readiness, identify pipeline gaps, and recommend MLOps tooling, platforms, and process improvements
Define and implement model risk management practices, including bias detection, model drift monitoring, explainability frameworks, and audit-trail requirements
Collaborate with data engineers, data scientists, software engineers, and product managers to translate business requirements into scalable ML system designs
Provide technical oversight during iterative development and CI/CD pipeline integration
Prepare and present technical briefings, white papers, and strategic roadmaps for senior VA leadership and stakeholders

Requirements

What you’ll need

5+ years of hands-on experience in AI/ML architecture, data science engineering, or a closely related technical discipline
Demonstrated experience establishing or maintaining enterprise-level AI/ML product management pipelines
Prior experience supporting federal agency clients or large-scale regulated-industry environments such as healthcare, finance, or defense
Ability to obtain and maintain a VA Position of Public Trust suitability clearance
Must be legally authorized to work in the United States without current or future sponsorship
U.S. citizenship may be required for VA network access and background investigation requirements
Deep familiarity with MLOps frameworks, platforms, and tools such as MLflow, Kubeflow, SageMaker, Azure ML, and DataRobot
Experience with modern CI/CD practices for ML systems, including model versioning, pipeline orchestration, and automated testing
Desired: experience supporting VA, HHS, DoD, or another federal health agency AI/data program
Desired: familiarity with federal AI governance frameworks, including NIST AI RMF 1.0, Executive Orders 13960/14110, and OMB AI memoranda
Desired: experience designing AI/ML systems handling PHI and PII in compliance with HIPAA, the Privacy Act, and FedRAMP
Desired: ability to build or mature an AI Center of Excellence, AI governance board, or model registry function
Desired: proficiency in cloud-native ML architectures on AWS GovCloud, Microsoft Azure Government, or Google Cloud government offerings, including ATO processes

Benefits

Comp & perks

Ability to obtain and maintain a VA Position of Public Trust (suitability clearance)
Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply