AI Testing Engineer

Your Journey at Crowe Starts Here:

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an impact. We embrace you for who you are, care for your well‑being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80‑year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups.

That’s why we continuously invest in innovative ideas, such as AI‑enabled insights and technology‑powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

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.

The 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…