Senior AI Architect

Job Title:- Senior AI Architect QA

Location:- Houston, Texas Onsite 3 days/week

Duration:- 12 Months

Visa: Any visa | No Relocation

No H1B

Focus: Enterprise AI Strategy, Architecture, Governance & QA Transformation
Contract

Position Overview

We are seeking a highly experienced Senior AI Architect to lead the strategy, governance, architecture, and adoption of AI capabilities across a global Quality Assurance organization.

This individual will serve as the central point of accountability for transforming individual AI and QA initiatives into a cohesive, governed, reusable, and value-driven enterprise capability. The AI Architect will partner with QA leadership, engineering teams, enterprise architecture, security, vendors, and business stakeholders to establish scalable AI standards and solutions that accelerate adoption while reducing technical, operational, and governance risk.

This is a strategic and technical leadership role requiring someone who can operate at both the enterprise architecture level and the execution/governance level, particularly within software testing, QA automation, generative AI, and AI-enabled engineering environments.

Key Responsibilities

AI Strategy & Governance

Establish and evolve the AI vision, roadmap, operating model, and governance framework for the QA organization.

Develop an accountability model across AI planning, governance, architecture, vendor management, innovation, and value realization.

Create centralized processes for AI use-case intake, prioritization, risk assessment, and approval.

Establish governance checkpoints, stage gates, KPIs, and executive reporting for AI initiatives.

Partner with enterprise architecture, security, data, and Responsible AI teams to ensure alignment with organizational standards.

Enterprise AI Architecture

Design enterprise AI architecture supporting software testing and QA transformation.

Define standards and recommended patterns for:

o Large Language Models (LLMs)

o Generative AI

o AI agents and orchestration

o Knowledge sources and retrieval

o Data architecture

o APIs and integrations

o Prompt engineering

o Model evaluation and validation

Develop reusable reference architectures and technical patterns that can be leveraged across multiple teams and vendors.

Establish architectural review processes for new AI initiatives and solutions.

Ensure AI solutions are scalable, interoperable, secure, supportable, and aligned with enterprise architecture standards.

QA & Software Testing Transformation

Identify opportunities to apply AI across:

o Test design and test case generation

o Test automation

o Quality intelligence

o Defect analysis

o Release readiness

o Automation monitoring

o Reporting automation

o Knowledge agents

o Engineering productivity

Provide technical oversight for high-impact AI initiatives within QA.

Partner with QA engineers, automation engineers, developers, and delivery teams to transition AI concepts and proofs of concept into production-ready capabilities.

Technology & Integration Architecture

Define architecture and integration approaches across enterprise platforms including:

Azure DevOps

GitHub Copilot

Microsoft Copilot

Microsoft Copilot Studio

Power Platform

Power BI

Tricentis Tosca

UFT

Enterprise APIs and data platforms

Approved LLM and AI platforms

Identify opportunities to create reusable AI services, components, agents, prompts, and integration patterns rather than developing isolated poin