Senior AI Architect & Governance Engineer (Onsite VA)

Axiologic Solutions LLC; Herndon (VA); Sur place; USD 90 000 - 186 000; Plein temps

Résumé du poste

Axiologic Solutions LLC in Herndon, VA is seeking an AI Engineer to shape AI/ML architecture and governance across enterprise environments. This onsite role covers model governance, cloud data pipelines, and agentic AI system development with evaluation frameworks and compliance artifacts.

Responsibilities include AI/ML architecture design, enterprise baseline development, governance of AI models, and collaboration with security and mission teams to align AI solutions with enterprise needs.

Qualifications

• 5+ years of AI/ML engineering or related field.
• Bachelor’s degree in CS, AI, Data Science, or related field.
• Experience with AI/ML architecture, model development, deployment and governance.

Responsabilités

• Support AI/ML architecture design and engineering across enterprise environments.
• Assist with enterprise architecture baseline development, solution architecture and governance.
• Support AI model governance frameworks and cloud-based data pipelines.
• Assist with agentic AI development, including agent evaluation frameworks.
• Support prompt engineering governance standards and model fine-tuning pipelines.
• Develop AI governance artifacts like model risk scorecards and automated compliance reporting.
• Collaborate with teams to align AI solutions with enterprise architecture, security and mission needs.

Connaissances

AI/ML architecture

Model development

Deployment

Governance

Cloud infrastructure

AI data pipelines

Agentic AI

Prompt engineering

Model evaluation

Model fine-tuning

Technical documentation

Formation

Bachelor’s degree

Outils

AWS

Microsoft Azure

Description du poste

Axiologic Solutions LLC in Herndon, VA is seeking an AI Engineer to shape AI/ML architecture and governance across enterprise environments. This onsite role covers model governance, cloud data pipelines, and agentic AI system development with evaluation frameworks and compliance artifacts.

Responsibilities include AI/ML architecture design, enterprise baseline development, governance of AI models, and collaboration with security and mission teams to align AI solutions with enterprise needs.