AI Testing Engineer

AI Testing Engineer

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Everything we do is about making the future of human work more purposeful. We do this by leveraging state‑of‑the‑art technologies, modern architecture, and industry experts to create AI‑powered solutions that transform the way our clients do business.

The new AI Transformation team will build on Crowe’s established AI foundation, furthering the capabilities of our Applied AI / Machine Learning team. By combining Generative AI, Machine Learning and Software Engineering, this team empowers Crowe clients to transform their business models through AI, irrespective of their current AI adoption stage.

As a member of AI Transformation, you will help distinguish Crowe in the market and drive the firm’s technology and innovation strategy. The future is powered by AI, come build it with us.

• We invest in expertise. You’ll have the time, space, and support to go deep in your projects and build lasting technical and strategic mastery. You’ll work with developers, product stakeholders, and project managers as a trusted leader and domain expert.
• We believe in continuous growth. Our team is committed to professional development and knowledge‑sharing.
• We protect balance. Our distributed team culture is grounded in trust and flexibility. We offer unlimited PTO, a flexible remote work policy, and a supportive environment that prioritizes sustainable, long‑term performance.

AI Testing Engineer I (Senior Staff) plays a critical role in ensuring the quality, reliability, safety and compliance of enterprise AI and machine learning systems. This role leads advanced testing and validation efforts, architects automated evaluation frameworks, and assesses model behavior across functional and non‑functional dimensions, including accuracy, robustness, bias, drift and safety.

Working closely with AI engineering, data science, security and product teams, the engineer defines testing strategies, builds evaluation datasets and identifies risks across predictive and generative AI systems. As a senior staff‑level contributor, the role establishes platform‑wide testing standards, integrates AI testing into CI/CD workflows, mentors other engineers and supports responsible AI adoption. This position significantly advances the maturity of AI validation practices and ensures dependable, trustworthy deployment of AI capabilities across the organization.

• Designing comprehensive testing strategies for predictive models, generative AI systems and end‑to‑end ML pipelines.
• Leading the development of automated test harnesses, evaluation suites and validation tools integrated into CI/CD workflows.
• Analyzing model outputs for correctness, safety, fairness, robustness and stability across diverse test scenarios.
• Building synthetic datasets, challenge sets and adversarial test cases to uncover model weaknesses.
• Evaluating LLM and generative model behavior, including hallucination rates, prompt sensitivity and retrieval accuracy.
• Collaborating with engineering and data science teams to define evaluation criteria, KPIs and acceptance thresholds.
• Troubleshooting complex ML system issues such as performance degradation, drift or unexpected failure patterns.
• Implementing post‑deployment monitoring systems to continuously validate model behavior in production.
• Documenting testing methodologies, findings and recommendations to inform system improvements.
• Guiding junior engineers and QA specialists in advanced AI testing techniques and tools.
• Ensuring adherence to enterprise responsible AI, safety, security and compliance standards.
• Identifying reliability and trust risks and contributing to mitigation strategies.
• Contributing to AI platform architectural decisions to improve testability and observability.
• Researching and evaluating emerging AI testing methodologies, benchmarks and tooling ecosystems.

• 4+ years of experience in software testing, ML engineering, data science or related roles.
• Strong proficiency in Python and automated testing frameworks.
• Deep understanding of model evaluation techniques,…