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

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:

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):

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 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 role includes mentoring engineering teams, promoting best practices in security and scalability, and leading architecture governance through reviews, audits, and technical oversight processes.

Requirements:

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.

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)