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Agentic AI Architect

Job in Dallas, Dallas County, Texas, 75201, USA
Listing for: Apex Systems
Full Time position
Listed on 2026-06-28
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
  • Design & Architecture
Job Description & How to Apply Below

GenAI Architecture Consultant (Systems Architect 3 – Contingent)

This contingent Systems Architect role supports moderately complex architecture initiatives and contributes to enterprise-wide planning. As a GenAI Architecture Consultant, the resource will design AI-augmented architecture patterns, build Architecture-as-Code automation, enforce DCMS governance, lead Azure/GCP onboarding architectures, evolve enterprise patterns (Archetype 2.0), and support next-gen Permit-to-Build automation leveraging LLM reasoning.

The role is essential to advancing CTO Architecture OKRs, scaling AI-first governance, and improving architectural consistency, automation, and safety across the enterprise.

Top Requirements:

  • 4+ years of Systems Architecture experience, with hands-on enterprise architecture design (not advisory-only).
  • GenAI architecture experience, including agentic workflows, LLM reasoning, and AI-enabled governance automation.
  • Architecture-as-Code (AaC) using Structurizr, C4 modeling, scripts, generators, and CI/CD-integrated model validation.
  • Azure and GCP cloud architecture, onboarding patterns, landing zones, and SDLC/developer platform integration.
  • Strong automation background: CI/CD integration, governance automation, scripting, and infrastructure automation.
  • 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.
    • Build and automate Architecture-as-Code workflows using Structurizr + C4 models.
    • 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 & GCP 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.
    • Communicate complex AI-enabled architectural concepts clearly to both technical and non-technical audiences.
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