Sr. Principal, Quality Engineering Architect

It's fun to work in a company where people truly BELIEVE in what they're doing!

Job Description:

Company Overview

Ingram Micro is the business behind the world’s brands, providing more ways to realize the promise of technology. We are on a path to transform Ingram Micro into a Digital Platform Business, based on experience and outcomes. Our strategy is intently focused on three main users (Customer, Associate, Vendor) of our Digital Platform, which is connected via Data and Intelligence. These platforms together are the Ingram Micro Xvantage™

Role Overview

As we scale our Quality Engineering and automation capabilities, the role of an Sr. Principal, Quality Engineering and AI Automation Architect is pivotal in transforming our testing approach from traditional validation to intelligent, predictive, and self-evolving quality engineering. This role will lead the design and implementation of AI-first automation strategies, enabling the organization to move towards autonomous testing ecosystems. The architect will be responsible for building scalable, reusable, and enterprise-grade automation frameworks that leverage AI for smarter test generation, adaptive execution, and proactive defect detection.

A key focus will be to embed AI-driven quality intelligence into CI/CD and DevOps pipelines, ensuring faster release cycles with built-in, data-driven quality gates. By integrating advanced capabilities such as self-healing automation, predictive analytics, and generative AI, this role will significantly enhance test efficiency, coverage, and reliability.

The AI Automation Architect will also play a critical role in shaping future-ready QE practices, driving adoption of emerging technologies such as Generative AI, autonomous agents, and observability-driven testing. This includes influencing engineering teams, establishing standards, and ensuring consistent adoption across programs.

Ultimately, this role is central to reducing manual effort, accelerating delivery timelines, and improving product quality at scale, while optimizing cost and enabling a best-in-class, resilient platform experience for our customers.

Key Job Functions/ Requirements

• Demonstrated expertise in designing and implementing AI-driven agents to optimize and transform the Software Testing Life Cycle (STLC)
• Strong capability to architect intelligent automation solutions that significantly reduce manual effort across test design, execution, and analysis
• Proven experience in building specialized AI agents such as quality analyzers, test script generators, execution orchestrators, and regression optimization engines
• Lead the end-to-end architecture of AI-enabled test automation frameworks, ensuring scalability, reusability, and adaptability
• Design and develop advanced test infrastructure, including test harnesses, mock servi