Manager, Quality Assurance Engineer AI/ML

at Deloitte in Boise, Idaho, United States

Manager, Quality Engineer AI/ML

As a Manager, Quality Engineer specializing in artificial intelligence (AI) and Machine Learning (ML) technologies, you will actively engage in your AI/ML craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users while also driving tangible value for Deloittes business investments. You will leverage your extensive AI/ML engineering craftsmanship and advanced proficiency across multiple quality assurance disciplines and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions.

Recruiting for this role ends on September 30, 2025.

Work youll do:

+ Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.

+ Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, contributing to low-level architecture and component design, development, unit testing, integrations, and support.

+ Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate. Create technical specifications, and write high-quality, supportable, scalable code and review code of other engineers, mentoring them, to ensure all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.

+ Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.

+ Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.

+ Cross-Functional Collaboration and Integration: Work collaboratively w