Enterprise Architect – Full Stack & AI/ML

Hybrid in Richmond, VA, US • Posted 5 hours ago • Updated 5 hours ago
Full Time
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • React Native
  • Artificial Intelligence
  • Enterprise Architecture
  • Solution Architecture
  • Health Care
  • Node.js
  • React.js
  • API
  • Microservices
  • Machine Learning (ML)

Summary

Location: Richmond, Virginia (Hybrid – 3 Days Onsite)
Location & Onsite Requirement
  • Work Model – Hybrid (Onsite/Remote)
  • Onsite Requirement – 3 Days per Week
  • Office Address – Richmond, Virginia, USA
  • Domain Experience
  • Healthcare – Mandatory
  •  
 

Role Summary
We are seeking a highly experienced Enterprise Architect – Full Stack & AI/ML to define and lead enterprise-grade solution architectures integrating modern full stack engineering with scalable AI/ML capabilities.
The ideal candidate will have deep expertise in enterprise architecture, cloud-native systems, AI/ML platforms, and healthcare domain solutions.

Mandatory Areas
Enterprise Architect – Full Stack, AI/ML
  • 12+ years of overall IT experience
  • 5–7+ years in Solution Architecture or Enterprise Architecture roles

Must-Have Skills
  • React Native (Mandatory)
  • React (Mandatory)
  • Node.js (Mandatory)
  • Cloud-native architecture
  • Enterprise architecture
  • AI/ML
  • Application engineering
  • Microservices & API-first design

Key Responsibilities
1. Enterprise Architecture & Strategy
  • Define end-to-end architecture for full stack and AI/ML systems.
  • Establish enterprise standards, governance frameworks, and architecture principles.
  • Drive digital modernization and cloud transformation initiatives.
  • Align technical roadmaps with healthcare business objectives.
2. Full Stack Architecture (React / React Native)
  • Architect scalable web and mobile platforms.
  • Design backend services, APIs, and microservices.
  • Implement event-driven and distributed system patterns.
  • Ensure performance optimization and secure application design.
3. AI/ML Architecture
  • Design ML pipelines including data ingestion, feature engineering, model training, deployment, and monitoring.
  • Implement MLOps frameworks with CI/CD automation.
  • Ensure governance, versioning, and compliance of AI/ML systems.
4. Cloud & DevOps Integration
  • Architect multi-cloud and hybrid cloud solutions.
  • Implement Infrastructure-as-Code and automation.
  • Enable observability, monitoring, and secure API management
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90915884
  • Position Id: 8902096
  • Posted 5 hours ago
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