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.

Job Description:

About Crowe AI Transformation

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.

About the Team

• 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.

About the Role

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 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.

Qualifications

• 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, including precision/recall, calibration, robustness, and stability testing.

• Familiarity with LLM evaluation metrics, safety testing approaches, and structured test design.

• Demonstrated ability to diagnose complex model, data, and pipeline failures.

• Strong collaboration and communication skills across technical and non-technical teams.

• Willingness to travel occasionally for cross-functional planning and collaboration.

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent experience.

• Experience testing AI/ML systems in cloud-based environments.

• Hands-on experience with cloud ML platforms such as SageMaker, Vertex AI, or Azure ML.

• Familiarity with containerization (Docker), Kubernetes, and distributed test execution.

• Experience integrating automated AI testing into CI/CD pipelines (e.g., GitHub Actions or similar tools).

• Experience with monitoring and logging systems for post-deployment model validation.

• Advanced experience testing generative AI systems, including LLMs for accuracy, bias, safety, and hallucinations.

• Familiarity with RAG evaluation workflows and vector databases (e.g., FAISS, Pinecone, Weaviate).

• Experience with prompt engineering, adversarial prompting, and synthetic data generation.

• Familiarity with Hugging Face evaluation tools and testing fine-tuned models (e.g., LoRA, QLoRA).

• Testing, quality engineering, or cloud certifications.

• Excellent analytical, documentation, and mentorship skills.

• Ability to collaborate effectively in hybrid or remote team environments and support extended hours during critical model releases or incidents.

We expect the candidate to uphold Crowe's values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time.

Our Benefits:
Your exceptional people experience starts here. At Crowe, we know that great peopleare what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you!

How You Can Grow:
We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!

More about Crowe:
Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.

Crowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws.

Crowe LLP does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.

Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.