AI QA - Engineer​/Technical Staff

About Our Team

We're building the next generation of AI-powered experiences, and quality is at the heart of everything we deliver. As an AI QA Engineer
, you'll join a collaborative team of innovators focused on ensuring our AI systems are accurate, safe, and reliable m large language models to vision systems and agentic workflows, we're pushing the boundaries of what's possible—and we need your expertise to make sure every product meets the highest standards.

Chicago, IL
Hybrid (3 days on-site, 2 days remote)

• Design and implement comprehensive test frameworks for AI/ML systems: LLMs, vision models, RAG pipelines, agentic workflows
• Build automated evaluation systems for model outputs—accuracy, relevance, bias detection, hallucination monitoring
• Create quality benchmarks and continuous testing pipelines for generative AI (content quality, safety, brand alignment)
• Develop performance monitoring infrastructure: model drift detection, data quality validation, inference latency tracking
• Establish AI-specific quality gates and work with product/engineering teams in Agile sprints to define acceptance criteria
• Stay ahead of AI testing trends: adversarial testing, red‑teaming, AI safety evaluation

• 3+ years in QA/test engineering, with focus on AI/ML systems
• Deep understanding of ML model evaluation: classification metrics, NLP evaluation (BLEU, ROUGE, human eval), vision model testing
• Experience building test automation frameworks (Python, pytest, CI/CD pipelines)

• Knowledge of AI risks: bias, fairness, safety, hallucinations, adversarial attacks
• Strong collaboration skills—comfortable working with data scientists, ML engineers, and product managers
• Passion for AI quality and keeping current with testing methodologies for generative AI

The base salary budgeted range for this position is $110K‑$150K. Individuals may also be considered for bonus and/or commission.

Lenovo's various benefits can be found on

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.