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The AI Quality Assurance Expert is responsible for ensuring the accuracy, reliability, safety, compliance, and operational performance of AI solutions across MANN+HUMMEL, supporting reliable business decision-making and trusted deployment of AI-enabled solutions.

Your Challenge

Ensure accuracy, reliability, performance, and compliance of AI models and systems across development, testing, deployment, operational use, and feature enhancement
Develop and execute test plans and validation frameworks for AI products, ML solutions, LLM applications, and agentic systems
Design and operate automated tests integrated into MLOps and LLM delivery pipelines
Define acceptance criteria and quality gates for AI systems, including functional quality, robustness, consistency, explainability, and operational readiness
Design and maintain telemetry, observability, and monitoring for AI behavior, including drift detection, anomaly detection, output degradation, and compliance incident tracking
Maintain traceable validation evidence, documentation, and audit ready records for test execution, deviations, decisions, and approvals
Collaborate with cross-functional stakeholders to align quality requirements, test scope, release readiness, and ongoing improvement actions

Your Profile

Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Information Technology, Artificial Intelligence, or a related field
Professional Experience:
- 5-10 years of relevant experience in software testing, quality assurance, test automation, or validation of digital products
- Experience in validating systems such as ML or LLM-based solutions is strongly preferred
Expertise:
- Clear and effective communication with cross-functional teams, including senior business stakeholders and Product Owners
- Strong planning, prioritization, and documentation skills
- High attention to detail and quality orientation
AI-specific skills:
- Deep understanding of ML lifecycle, LLM architectures, agentic systems, and model validation concepts
- Familiarity with AI/data stack and MLOps tooling
- Understanding of common AI risks such as hallucination, drift, bias, prompt injection, and unreliable automation behavior
Technical Skills:
- Working proficiency in Python, with the ability to review, understand, and assess Python‑based test, validation, and evaluation code
- Proficiency with test and automation frameworks
- Experience with version control, defect tracking, and structured test documentation
Language skills: Very good English skills; German is a plus
Personality:
- Cross-team stakeholder collaboration
- Ability to balance speed, risk, and quality in a dynamic technology environment
- Quality oriented with continuous improvement mindset

Diversity and inclusion are part of our DNA. We filter exclusively for the best talent. We therefore welcome applications from all people regardless of age, gender, origin, ancestry, disability, or other legally protected grounds.

If you have any questions about this job posting, please contact our recruiting team. You can reach us at [email protected]. Please include the job title and location of the position you are interested in in your email. Please also note that for data protection reasons, we cannot accept applications by email; please use our online form exclusively for this purpose.

Classification

Classification should be based on the fulfillment of all duties and requirements in the EG15 (Baden-Württemberg) 06.02.03.22z Testsoftware-Engineer 4 with a 35-hours-working week.

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