AI Architect

Saxon Global; Houston (TX); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Saxon Global seeks a Senior AI Architect to lead enterprise AI strategy, architecture, governance, and adoption across a global QA organization.

The ideal candidate will own AI architecture standards, evaluate emerging tech, and guide engineering teams while partnering with executives, QA, and vendors to drive scalable AI initiatives.

Qualifications

• Strong experience in AI/Enterprise/Solution Architecture.
• Hands-on expertise with Generative AI, LLMs, AI Agents, RAG, orchestration, and APIs.
• Experience with AI governance, Responsible AI, security, model evaluation, and validation.
• Strong background in QA, software testing, and test automation, including AI-enabled QA use cases.
• Experience developing enterprise AI architecture patterns, frameworks, and reusable solutions.
• Preferred experience with Azure/Azure AI, Azure DevOps, GitHub Copilot, Microsoft Copilot/Copilot Studio, Power Platform, and Power BI.
• Experience with Tricentis Tosca/UFT and enterprise API integrations is a plus.
• Strong communication skills with executive, engineering, QA, architecture, and vendor teams.

Responsibilities

• Lead enterprise AI strategy, architecture, governance, and adoption across a global QA organization.
• Own the AI architecture standards and establish reusable patterns across teams and vendors.
• Evaluate emerging technologies and guide engineering designs for scalable AI solutions.
• Collaborate with executive, engineering, QA, and vendor teams to drive governance and risk controls.

Skills

AI/Enterprise Architecture

Generative AI

LLMs

RAG

APIs

AI Governance

Security

QA Automation

Education

Bachelor’s degree in CS/Engineering/Math

Tools

Azure AI

Azure DevOps

GitHub Copilot

Power BI

Power Platform

Azure/Microsoft Copilot Studio

Tricentis Tosca/UFT

Job description

Location: Houston, TX – Hybrid (3 Days Onsite/Week)

Duration: 12 Months Contract

Client: Halliburton

Visa: USC, GC, GC-EAD, TN

Interview: Video

Job Summary

Seeking a Senior AI Architect to lead enterprise AI strategy, architecture, governance, and adoption across a global QA organization.

Key Requirements

• Strong experience in AI/Enterprise/Solution Architecture.
• Hands-on expertise with Generative AI, LLMs, AI Agents, RAG, orchestration, and APIs.
• Experience with AI governance, Responsible AI, security, model evaluation, and validation.
• Strong background in QA, software testing, and test automation, including AI-enabled QA use cases.
• Experience developing enterprise AI architecture patterns, frameworks, and reusable solutions.
• Preferred experience with Azure/Azure AI, Azure DevOps, GitHub Copilot, Microsoft Copilot/Copilot Studio, Power Platform, and Power BI.
• Experience with Tricentis Tosca/UFT and enterprise API integrations is a plus.
• Strong communication skills with executive, engineering, QA, architecture, and vendor teams.

The ideal candidate is not simply an AI developer or traditional QA architect. This person should be able to own the AI architecture and governance strategy across an enterprise QA organization, while still being technical enough to challenge solution designs, establish architecture standards, evaluate emerging technologies, and guide engineering teams.

They should be comfortable moving between executive strategy discussions aOLEnd detailed technical architecture conversations and be capable of bringing structure and accountability to multiple AI initiatives occurring simultaneously across teams and vendors.

Expected Outcomes

Over the course of the engagement, this individual will help establish: