Enterprise Architect - Full Stack & AI/ML
Axelon - Richmond, VA
Apply NowJob Description
Job title : Enterprise Architect - Full Stack, AI/ML Location: Richmond, VA Job Description: Enterprise Architect - Full Stack, AI/ML is responsible for defining and leading enterprise-grade solution architectures that integrate modern full-stack engineering practices with scalable AI/ML capabilities. The role spans application engineering, MLOps, cloud-native architectures, data engineering, and enterprise integration, and requires close collaboration with business, product, engineering, and data science teams. This position requires 12+ years of hands-on and architectural experience in large-scale enterprise environments. Responsibilities Define end-to-end architecture for full-stack and AI/ML systems across discovery, data management, model development, deployment, and operations. Establish enterprise architecture principles, standards, and governance models for AI-enabled platforms. Drive digital modernization and cloud transformation initiatives aligned with business goals. Architect scalable ML pipelines, automated workflows, CI/CD, and MLOps frameworks. Partner with data scientists and engineers to operationalize AI/ML models with governance, compliance, versioning, and monitoring. Design and review enterprise applications spanning frontend, backend, APIs, microservices, and cloud-native services. Lead multi-cloud and hybrid architectures across AWS, Azure, and GCP, including DevOps, IaC, and observability. Mentor engineering teams and facilitate architecture governance, reviews, and technical audits. Required Skills Strong full-stack engineering experience with Java, Node.js, Python, Angular/React, REST APIs, microservices, and event-driven architectures. Experience designing and operationalizing AI/ML pipelines, MLOps frameworks, and CI/CD workflows. Deep knowledge of cloud-native architectures, containers (Docker), Kubernetes, and multi-cloud environments (AWS, Azure, GCP). Strong understanding of data engineering, data management, and enterprise integration. Proven leadership, stakeholder engagement, and enterprise architecture governance experience.
Created: 2026-03-10