Agentic and GEN AI Architects/Engineers

Job Title: Agentic and GEN AI Architects/Engineers Work Location: Iselin, NJ/Charlotte, NC/Chandler, AZ/Dallas, TX/Columbus, OH (Hybrid 3 days a week onsite)
Duration :: Long Term Contract

If you find this opportunity suitable, kindly share your updated resume. Also, please let me know a good time to connect with you for a quick discussion.

Looking forward to hearing from you!

Top Requirements:

• 4+ years of Systems Architecture experience, with handson enterprise architecture design (not advisory-only).
• GenAI architecture experience, including agentic workflows, LLM reasoning, and AIenabled governance automation.
• Architecture-as-Code (AaC) using Structurizr, C4 modeling, scripts, generators, and CI/CD-integrated model validation.
• Azure and Google Cloud Platform cloud architecture, onboarding patterns, landing zones, and SDLC/developer platform integration.
• Strong automation background: CI/CD integration, governance automation, scripting, and infrastructure automation.

Job Summary:

• This contingent Systems Architect role supports moderately complex architecture initiatives and contributes to enterprisewide planning. As a GenAI Architecture Consultant, the resource will design AIaugmented architecture patterns, build Architecture-as-Code automation, enforce DCMS governance, lead Azure/Google Cloud Platform onboarding architectures, evolve enterprise patterns (Archetype 2.0), and support nextgen PermittoBuild automation leveraging LLM reasoning.
• The role is essential to advancing CTO Architecture OKRs, scaling AIfirst governance, and improving architectural consistency, automation, and safety across the enterprise.

Day-to-Day Responsibilities:

• Develop AI-augmented architecture patterns and integrate AI into the SDLC.
• Prototype agentic workflow architectures and GenAI-enabled patterns.
• Build hands-on POCs improving observability, governance enforcement, and system intelligence.
• Create scripts, generators, model pipelines, and CI/CD-integrated architecture validation.
• Produce high-quality architecture deliverables and enforce DCMS governance.
• Validate architecture submissions, remediate design gaps, and ensure consistency across teams.
• Lead Azure & Google Cloud Platform onboarding architecture, including PAA onboarding, dev environment patterns, SDLC tooling, and reusable accelerators.
• Evolve enterprise reference architectures and Archetype 2.0, including code templates and prototype applications.
• Co-design next-gen Permit-to-Build automation, integrating LLM reasoning, metadata ingestion, automated validations, and model-driven tooling.
• Collaborate with developers, platform teams, security, risk partners, and CTO Architecture leadership.