Enterprise AI Architect for QA & Automation Strategy

Vision Infotech; Houston (TX); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Vision Infotech is seeking a Senior AI Architect to lead strategy, governance, and architecture for AI-enabled QA across a global organization. The role focuses on transforming AI initiatives into scalable, governed enterprise capabilities, partnering with enterprise architecture, security, vendors, and QA leadership.

The position requires expertise in Generative AI, LLMs, AI agents, APIs, and data platforms, with a track record of delivering reusable AI patterns and governance frameworks.

Qualifications

• Extensive experience in AI architecture, enterprise architecture, or solution architecture roles.
• Strong hands-on understanding of Generative AI, LLMs, AI agents, orchestration, APIs, and enterprise AI integration patterns.
• Experience designing AI solutions within large, complex enterprise environments.
• Strong governance, Responsible AI, model evaluation, validation, security, and compliance knowledge.

Responsibilities

• Lead AI strategy, governance, architecture, and adoption across a global QA organization.
• Develop reusable enterprise AI architectures and patterns for QA transformation.
• Oversee AI governance, risk management, and security for QA AI initiatives.
• Collaborate with QA leadership, engineering, security, and vendors to drive adoption while reducing risk.

Skills

AI architecture

Enterprise architecture

Solution architecture

Generative AI

LLMs

AI agents

APIs

QA/Testing

Vendor evaluation

Stakeholder management

Tools

Azure DevOps

GitHub Copilot

Power BI

Tricentis Tosca

UFT

Job description

Vision Infotech is seeking a Senior AI Architect to lead strategy, governance, and architecture for AI-enabled QA across a global organization. The role focuses on transforming AI initiatives into scalable, governed enterprise capabilities, partnering with enterprise architecture, security, vendors, and QA leadership.

The position requires expertise in Generative AI, LLMs, AI agents, APIs, and data platforms, with a track record of delivering reusable AI patterns and governance frameworks.