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EP

Empower Professionals

via Dice

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Enterprise Architect-AI/ML- React, Node JS-Remote

Anywhere
Contract
Posted 2/25/2026
Verified Source
Key Skills:
C#
ASP.NET Core
Angular
React
Azure
AWS
Docker
Kubernetes
AI/ML integration

Compensation

Salary Range

$Not specified

Responsibilities

Lead enterprise-grade solution architectures combining full-stack engineering with scalable AI/ML capabilities across cloud platforms.

Requirements

12+ years in enterprise application and solution architecture with expertise in full stack, AI/ML frameworks, cloud platforms, DevOps/MLOps, and stakeholder leadership.

Full Description

Role: Enterprise Architect Location: Remote Duration: 12+ Months AI/ML Experience needed Job Summary • The Enterprise Architect – Full Stack will be responsible for defining and leading enterprise-grade solution architectures that combine modern full-stack engineering practices with scalable AI/ML capabilities. This role requires deep expertise across application engineering, cloud-native architecture, data engineering, and enterprise integration. • The architect will work closely with business, product, engineering, and data science teams to conceptualize and deliver secure, scalable, and high-performance digital ecosystems powered by advanced technologies. The position requires strong hands-on and architectural experience within large enterprise environments and the ability to align technology strategy with business outcomes. Experience Required: 12+ years in enterprise application and solution architecture. Responsibilities: • Enterprise Architecture & Strategy: • The role involves defining end-to-end architecture across full stack and AI/ML platforms, covering discovery, data management, model lifecycle, deployment, and operationalization. The architect will establish enterprise standards, governance models, and architectural principles while driving modernization and cloud transformation initiatives aligned with organizational strategy. Continuous evaluation of emerging technologies will be expected to support innovation and long-term scalability. • The architect will design scalable machine learning pipelines and MLOps frameworks supporting data ingestion, feature engineering, model development, deployment, and monitoring. Working closely with data scientists and ML engineers, the role focuses on operationalizing AI solutions while ensuring governance, compliance, reproducibility, and performance monitoring across the model lifecycle. • Full Stack & Platform Architecture (React / React Native): • The position leads architecture for enterprise applications spanning frontend, backend services, APIs, and microservices ecosystems. Responsibilities include guiding engineering teams on performance optimization, distributed system design, caching strategies, and containerized deployments using modern cloud-native practices. The architect will promote API-first integration patterns and event-driven architectures to enable scalable and resilient platforms. • Cloud, DevOps & MLOps Integration: • The role requires designing multi-cloud and hybrid architectures across AWS, Azure, and Google Cloud Platform while ensuring interoperability and vendor-neutral design principles. The architect will guide implementation of DevOps pipelines, infrastructure automation, observability frameworks, and secure API management to enable reliable enterprise connectivity and continuous delivery. • Stakeholder Leadership & Governance: • The Enterprise Architect will partner with business stakeholders to translate strategic objectives into technical roadmaps. The role includes mentoring engineering teams, promoting best practices in security and scalability, and leading architecture governance through reviews, audits, and technical oversight processes. Requirements: • The ideal candidate brings strong full stack engineering experience across Java, Node.js, Python, React or Angular, REST APIs, microservices, and event-driven architectures. Exposure to AI/ML frameworks such as TensorFlow or Scikit-learn and operational ML practices is preferred. • Deep expertise in cloud platforms (AWS, Azure, Google Cloud Platform), distributed systems, Docker, Kubernetes, and serverless architectures is required, along with strong knowledge of data engineering concepts including ETL frameworks, data warehousing, governance, and real-time data processing. • Experience with CI/CD pipelines, DevOps or MLOps practices, infrastructure as code, and enterprise observability solutions is essential. Thanks Yashasvi Hasija Team Lead | Empower Professionals ...................................................................................................................................... | Phone: x 368 | Fax: LinkedIn: linkedin.com/in/yashasvi-hasija-6a745625b 100 Franklin Square Drive – Suite 104 | Somerset, NJ 08873 Certified NJ and NY Minority Business Enterprise (NMSDC)

This job posting was last updated on 3/3/2026

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