Enterprise Architect - Full Stack, AI​/ML

Virginia, Richmond

01/27/2026

Contract

Active

Job Summary

The Enterprise Architect – Full Stack, AI/ML is responsible for defining and leading enterprise-grade architectures that integrate full stack engineering with scalable AI/ML capabilities.

The role involves creating end-to-end architectures across application engineering, MLOps, cloud-native platforms, data ecosystems, and enterprise integrations.

The individual will collaborate with business, product, engineering, and data science teams to deliver secure, scalable, high-performing digital ecosystems powered by AI/ML.

The position requires over 12 years of hands-on and architectural experience in large-scale enterprise environments.

Key Responsibilities

• Define full lifecycle architecture for full stack and AI/ML systems covering data management, model development, deployment, and operations.
• Establish enterprise architecture principles, standards, and governance for AI-enabled platforms.
• Drive digital modernization and cloud transformation initiatives aligned with business strategies.
• Evaluate and recommend emerging technologies across AI/ML, Dev Ops, MLOps, and cloud platforms.
• Architect scalable ML pipelines, automated workflows, and CI/CD–MLOps frameworks including ingestion, feature engineering, development, evaluation, deployment, and monitoring.
• Collaborate with data scientists and engineering teams to operationalize AI/ML models at scale.
• Ensure governance, compliance, versioning, reproducibility, and monitoring of ML systems.
• Design and review enterprise applications combining backend, frontend, cloud APIs, and microservices.
• Lead architecture efforts for full stack development teams including frontend, middleware, APIs, and cloud-native services.
• Guide teams on performance optimization, caching, distributed systems, and containerized deployments.
• Oversee API-first integration patterns, event-driven designs, and asynchronous architectures.
• Architect multi-cloud and hybrid solutions across AWS, Azure, and GCP with vendor-neutral designs.
• Lead cloud automation, Dev Ops pipelines, IaC, and observability tooling.
• Implement secure API management and enterprise connectivity models.
• Partner with business leaders to translate strategy into technical roadmaps.
• Mentor engineering teams on best practices for solution delivery, security, scalability, and architectural rigor.
• Lead architecture reviews, technical audits, and governance activities.

• 12+ years of IT experience, including 5–7+ years in solution or enterprise architecture roles.
• Strong background in Java, Node.js, Python, Angular/React, REST APIs, microservices, and event-driven architecture.
• Experience with ML frameworks such as Tensor Flow, scikit-learn, and MLlib.
• Expertise in data engineering, including data warehousing, ETL, metadata management, and real-time architectures.
• Deep knowledge of AWS, Azure, and GCP cloud services, networking, containers, Kubernetes, serverless, and distributed systems.
• Hands-on experience with CI/CD tools (Azure Dev Ops, Git Hub, Jenkins) and IaC tools such as Terraform or Cloud Formation.
• Strong leadership, communication, and problem-solving skills.
• Ability to drive cross-functional initiatives and influence stakeholders.
• Demonstrated experience delivering enterprise platforms with integrated AI/ML capabilities.
• Experience leading global, cross-functional, multidisciplinary teams.

• Experience with enterprise-scale MLOps and federated data science operations.
• Experience in regulated industries such as finance, healthcare, or telecom.

• TOGAF
• Cloud architect certifications (AWS/Azure/GCP)