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Enterprise Architect
Job in
Richmond, Henrico County, Virginia, 23214, USA
Listed on 2026-03-05
Listing for:
CYNET SYSTEMS
Full Time
position Listed on 2026-03-05
Job specializations:
-
IT/Tech
Cloud Computing, AI Engineer, Systems Engineer, Data Engineer
Job Description & How to Apply Below
- The Enterprise Architect will define and govern end-to-end enterprise architecture for full stack and AI/ML platforms.
- This role drives digital modernization, cloud transformation, and scalable AI-enabled solutions while partnering closely with business and engineering leadership.
Enterprise Architecture And Strategy:
- Define end-to-end architecture for full stack and AI/ML systems across Client, 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.
- Evaluate emerging technologies including AI/ML, Dev Ops, MLOps, and cloud platforms to accelerate enterprise innovation.
- Architect scalable ML pipelines, automated workflows, CI/CD pipelines, and MLOps frameworks covering data ingestion, feature engineering, model development, evaluation, deployment, and monitoring.
- Collaborate with data scientists, ML engineers, and analytics engineers to operationalize AI/ML models at scale.
- Ensure governance, compliance, versioning, reproducibility, and monitoring of AI/ML systems.
- Design and review enterprise applications across backend, frontend, cloud APIs, and microservices.
- Lead architecture for full stack development teams including frontend, middleware, data APIs, microservices, and cloud-native services.
- Guide teams on performance optimization, caching strategies, distributed systems, and containerized deployments using Docker and Kubernetes.
- Oversee API-first integration patterns, event-driven designs, and asynchronous architectures.
- Architect multi-cloud and hybrid solutions across AWS, Azure, and GCP ensuring interoperability and vendor-neutral design.
- Lead cloud automation, Dev Ops pipelines, infrastructure as code, and observability tooling.
- Implement secure and scalable API management and enterprise connectivity models.
- Partner with business leaders to translate business objectives into technical roadmaps.
- Mentor engineering teams and promote best practices in coding, security, scalability, and architectural rigor.
- Facilitate architecture review boards, technical audits, and solution governance activities.
- Strong background in full stack engineering including Java, Node.js, Python, Angular or React, REST APIs, microservices, and event-driven architecture.
- Hands-on experience with AI/ML frameworks such as Tensor Flow, Scikit-learn, and MLlib.
- Deep knowledge of cloud platforms including AWS, Azure, and GCP.
- Strong experience with containers, Kubernetes, serverless architectures, and distributed systems.
- Expertise in CI/CD pipelines, Dev Ops, MLOps, and infrastructure as code using Terraform or Cloud Formation.
- 12+ years of overall IT experience.
- 5-7+ years of experience in solution or enterprise architecture roles.
- Proven delivery of large-scale enterprise platforms with AI/ML components.
- Experience leading global, cross-functional, and multi-disciplinary teams.
- Full stack architecture and engineering.
- AI/ML platform design and MLOps.
- Cloud and hybrid architecture.
- Data engineering and real-time data platforms.
- Dev Ops, CI/CD, and automation.
- TOGAF certification.
- Cloud architect certifications.
- AI/ML specialization certifications.
- Experience with enterprise-scale MLOps and federated data science operations.
- Background in regulated industries such as finance, healthcare, or telecom.
- Bachelor s degree in Computer Science, Engineering, or related field, or equivalent work experience.
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