AI/ML Architect

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Aptive Resources

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

Gegründet 2012

🎖️ Verteidigung

📦 Logistik

📣 Marketing

Defense • Logistics • Marketing

Aptive Resources ist ein Managementberatungsunternehmen mit Sitz in Alexandria, Virginia, das sich auf die Bereitstellung innovativer Lösungen für Bundesbehörden, insbesondere in den Bereichen Veteranen- und Zivilgesundheit, spezialisiert hat. Mit einem starken Fokus auf Leistungsoptimierung, Humankapital und Datenanalyse zielt Aptive darauf ab, die Qualität und Zugänglichkeit von Gesundheitsdienstleistungen für Veteranen und die breite Öffentlichkeit zu verbessern. Das Unternehmen nutzt Technologie und menschzentrierte Dienstleistungen, um Kluften zu überbrücken und die Bereitstellung öffentlicher Dienste für mehrere Agenturen, einschließlich Veteranenangelegenheiten, Verteidigung und andere, zu verbessern.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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