Enterprise Architect (Modernization and AI)

  • Berkeley Heights, NJ
  • Posted 12 days ago | Updated 12 days ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Modernization
AI

Job Details

The Enterprise Modernization Architect is responsible for leading the transformation of legacy IT systems into

modern, scalable architectures. This role involves assessing current infrastructures, designing modernization

strategies, and overseeing the implementation of cloud-native solutions, microservices, and other contemporary

technologies to enhance efficiency, agility, and innovation within the enterprise.

Key Responsibilities

Collaborate with stakeholders, leadership, to understand business requirements for modernization.

Develop target-state architectures utilizing modern paradigms such as microservices, containerization (e.g.,

Docker/Kubernetes), computing, APIs, and private cloud platforms (OpenShift).

Lead the technical delivery of modernization projects from planning through execution, ensuring alignment

with enterprise standards, quality benchmarks, and risk mitigation.

Evaluate emerging technologies and adoption of AI.

Provide architectural governance, conduct design reviews, and mentor development teams to ensure

adherence to best practices and standards.

Prepare proposals, technical documentation, architecture diagrams, and presentations for RFPs,

stakeholder workshops, and internal training.

Monitor project progress, apply corrective measures as needed, and synchronize IT systems with evolving

business needs.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.

At least 5 years of experience in enterprise architecture, with a minimum of 2-3 years focused on application

modernization, cloud transformations, or legacy system upgrades.

Strong expertise in legacy systems (e.g., monolithic applications, client-server architectures) and modern

technologies (e.g., microservices, containers, DevOps practices, CI/CD pipelines).

Familiarity with application assessment tools, migration frameworks, and observability practices.

Excellent analytical, problem-solving, and communication skills, with the ability to present complex technical

concepts to non-technical stakeholders.

Preferred Qualifications

Experience with AI-driven modernization techniques, domain-driven design, agile methodologies, and

compliance frameworks.

Prior involvement in large-scale digital transformation projects. Exposure to Credit Card domain a plus.

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