More jobs:
Agentic AI Architect
Job in
Dallas, Dallas County, Texas, 75201, USA
Listed on 2026-06-28
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:
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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