TELUS International · 3 days ago

GenAI Quality Senior Manager

United States

Full-time

Remote

Senior Level

5+ years exp

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Responsibilities

Quality Strategy Development: Design and implement comprehensive quality assurance protocols tailored to generative AI and LLM projects. Ensure alignment with technical requirements and business objectives

Quality Control and Testing: Oversee the creation and execution of detailed testing plans to validate the quality of AI models and data sets. Monitor and report on quality metrics to identify areas for improvement

Team Leadership: Lead and mentor a team of quality analysts and testers. Foster a culture of high performance and continuous improvement within the team

Stakeholder Engagement: Work closely with operations managers, and technical teams to integrate quality assurance measures throughout the project lifecycle

Innovation and Research: Stay ahead of advancements in AI technologies and quality assurance practices. Recommend and implement innovative solutions to enhance project outcomes

Qualification

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LLMsGenerative AIData StructuresAI WorkflowsQuality ManagementQA MethodologiesQA ToolsData AnalysisTrend AnalysisStakeholder EngagementProject ManagementTechnology Domain KnowledgeProblem-SolvingCommunicationLeadershipAdaptabilitySix SigmaAdditional Languages

Required

Expertise in LLMs and Generative AI: Deep understanding of large language models, data structures, and generative AI workflows. Experience in deploying and fine-tuning AI technologies

Advanced Quality Management: Proven ability to design and lead quality assurance processes. Familiarity with modern QA methodologies and tools

Analytical Skills: Strong ability to analyze data, understand trends and derive actionable insights

Communication and Leadership: Excellent communication skills with the ability to lead teams and engage effectively with stakeholders at all levels

Adaptability: Ability to thrive in a fast-paced and evolving environment, responsive to technological advancements and project needs

Minimum of 5 years of experience in quality assurance, with at least 2 years in a leadership role within the technology or AI domain

Minimum Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field