Enterprise Architect - Remote​/Telecommute

Overview

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Enterprise Architect - Remote / Telecommute

Richmond, VA

Contract

The Enterprise Architect will define and lead end-to-end architecture strategies across full stack and AI/ML systems. This role is responsible for enterprise-wide architecture governance, digital modernization, cloud transformation, AI/ML operationalization, and large-scale platform engineering. The candidate will work closely with business and technology leaders to translate strategic objectives into scalable, secure, and future-ready enterprise solutions.

• 12+ years of overall IT experience.
• 5-7+ years in solution architecture or enterprise architecture roles.
• Proven experience delivering large-scale enterprise platforms with AI/ML components.
• Experience leading global, cross-functional, and multi-disciplinary teams.

• Define end-to-end enterprise architecture for full stack and AI/ML systems including discovery, data management, model development, deployment, and operations.
• Establish architecture principles, standards, and governance models for AI-enabled platforms.
• Drive digital modernization and cloud transformation initiatives aligned to business strategy.
• Evaluate emerging technologies such as AI/ML, Dev Ops, MLOps, and cloud platforms to accelerate innovation.

• Architect scalable ML pipelines and automated workflows including data ingestion, feature engineering, model development, evaluation, deployment, and monitoring.
• Establish CI/CD and MLOps frameworks with governance, compliance, reproducibility, and versioning.
• Collaborate with data scientists and ML engineers to operationalize models at scale.

• Design and review enterprise applications across backend, frontend, APIs, and microservices.
• Lead architecture for scalable frontend, middleware, data APIs, microservices, and cloud-native services.
• Guide teams on performance optimization, caching, distributed systems, containerization, and Kubernetes-based deployments.
• Oversee API-first integration patterns, event-driven architecture, and asynchronous system design.

• Architect multi-cloud and hybrid solutions across AWS, Azure, and Google Cloud Platform ensuring interoperability and vendor-neutral design.
• Lead cloud automation, infrastructure as code, Dev Ops pipelines, and observability strategies.
• Implement secure API management and enterprise connectivity models.

• Translate business objectives into technical roadmaps and architecture strategies.
• Facilitate architecture review boards, governance processes, and technical audits.
• Mentor engineering teams and promote best practices in scalability, security, and architecture rigor.
• Influence cross-functional initiatives and provide architectural leadership across the organization.

• Strong expertise in Java, Node.js, Python, Angular or React, REST APIs, microservices, and event-driven architecture.

• Experience with ML frameworks such as Tensor Flow, scikit-learn, or MLlib.
• Experience in feature engineering, pipeline automation, model monitoring, and operational ML systems.

• Deep knowledge of AWS, Azure, and Google Cloud Platform.
• Experience with containers (Docker), Kubernetes, serverless, distributed systems, and cloud networking models.

• Strong understanding of data warehousing, ETL frameworks, governance, metadata management, and real-time data architectures.

• Experience with CI/CD tools such as Azure Dev Ops, Git Hub, Jenkins.
• Experience with Infrastructure as Code (Terraform, Cloud Formation).
• Model deployment automation and lifecycle management.

• Strong leadership, communication, and problem-solving skills.
• Ability to influence stakeholders and drive cross-functional initiatives.
• Strong stakeholder management, negotiation, and architectural storytelling capabilities.

• TOGAF certification.
• Cloud architect certifications (AWS, Azure, or Google Cloud Platform).
• AI/ML specialization certifications.
• Experience with enterprise-scale MLOps and federated data science operations.
• Background in regulated industries such as finance, healthcare, or telecom is a plus.

• Bachelor’s degree in Computer Science, Engineering, or related field required.
• Master’s degree preferred.