Enterprise Architect (Modernization and AI)

Title: Enterprise Architect (Modernization and AI)
Location: Berkeley Heights, NJ (3 Days) and Princeton, NJ(2 Days) (based on client schedule)

Position Overview:

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.