Industry/Sector

Specialism

Management Level

Job Description & Summary

What You'll Do

• Perform end-to-end testing of AI workflows, pipelines, and GenAI-powered solutions.
• Identify, document, and communicate defects, limitations, and improvement opportunities within AI applications.
• Collaborate with Data Scientists, Engineers, Product Teams, and Business Stakeholders to improve the performance and quality of AI solutions.
• Analyze model outputs and provide recommendations to enhance effectiveness, usability, and overall solution quality.
• Support user acceptance testing (UAT) activities for AI-enabled products.
• Stay informed about advancements in Generative AI, LLMs, AI Agents, and emerging AI technologies.
• Contribute to process improvements and best practices related to AI testing and evaluation.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Information Systems, or a related field.
• 4+ years of experience in Data Science, Machine Learning, Artificial Intelligence, Quality Assurance, Solution Validation, Data Analytics, or related technical disciplines.
• Hands-on experience working with Generative AI technologies, Large Language Models (LLMs), AI Agents, or AI-powered applications.
• Experience performing testing, validation, quality assurance, or evaluation of technical solutions.
• Strong analytical and problem-solving skills with the ability to identify patterns, issues, and improvement opportunities.
• Familiarity with prompt engineering concepts and GenAI workflows.
• Experience working with cross-functional teams in agile or fast-paced environments.
• Excellent verbal and written communication skills.
• Advanced English proficiency.

Travel Requirements

Job Posting End Date