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PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

Generative AI Manager

Manual & Functional QAConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Information Systems, or a related field is required.
  • At least 7 years of experience in Machine Learning, Data Science, Advanced Analytics, Software Development, Quality Assurance, or related technical disciplines is required.
  • At least 2 years of experience leading projects, teams, or technical workstreams is required.
  • Hands-on experience with Generative AI technologies, Large Language Models, AI Agents, Retrieval-Augmented Generation solutions, or AI-powered applications is required.
  • Experience managing testing, validation, quality assurance, or solution evaluation activities is required.
  • Strong analytical and problem-solving skills, including the ability to identify improvement opportunities and drive resolution, are required.
  • Familiarity with prompt engineering techniques and Generative AI workflows is required.
  • Experience working with cross-functional teams in agile and fast-paced environments is required.
  • The ability to manage stakeholder expectations and influence decision-making across multiple organizational levels is required.
  • Advanced English proficiency and excellent presentation, verbal, and written communication skills are required.

Responsibilities

  • Lead testing, validation, and continuous improvement of Generative AI applications, workflows, and AI-powered solutions.
  • Oversee end-to-end evaluation activities for AI products, ensuring high-quality outputs and alignment with business objectives.
  • Collaborate with Data Scientists, Machine Learning Engineers, Product Managers, and Business Stakeholders to optimize AI solution performance and user experience.
  • Identify, prioritize, and communicate defects, risks, limitations, and enhancement opportunities for AI-enabled applications.
  • Drive user acceptance testing, pilot programs, and validation efforts for new AI capabilities and releases.
  • Provide technical guidance and mentorship to team members working on AI initiatives.
  • Support the design and implementation of evaluation frameworks, testing methodologies, and best practices for Generative AI solutions.
  • Analyze model outputs and performance metrics to provide actionable recommendations for continuous improvement.
  • Stay informed about advancements in Generative AI, AI Agents, Large Language Models, and emerging technologies to identify innovation opportunities.
  • Facilitate communication between technical and non-technical stakeholders, translating complex AI concepts into business-oriented recommendations.
  • Manage multiple AI initiatives simultaneously while ensuring timely delivery and quality outcomes.

Desired Qualifications

  • Experience with Azure OpenAI, Microsoft Copilot, OpenAI, Claude, Gemini, or similar AI platforms is preferred.
  • Experience leading enterprise AI implementations or digital transformation initiatives is preferred.
  • Familiarity with Python, SQL, cloud technologies, or machine learning frameworks is preferred.
  • Experience in consulting, professional services, or large multinational organizations is preferred.
  • Relevant certifications in Artificial Intelligence, Cloud Technologies, Data Science, or Project Management are preferred.

About the Company

PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

PwC provides assurance (audit), tax, legal services, consulting and deals advisory to organisations worldwide. It uses multidisciplinary teams across accounting, advisory, technology and industry, delivered through a global network of locally established firms that collaborate with technology partners to offer AI, cloud, managed services and digital trust. PwC differentiates itself with an integrated, global-local service model and technology-enabled offerings that address complex client needs across risk, transformation, reporting and sustainability. Its goal is to help clients improve governance, efficiency and value by supporting reporting accuracy, business transformation, risk management and sustainable practices.

Company size
10,001+
Company stage
Early VC
Total funding
$3.3M
Headquarters
London, United Kingdom
Founded
1989

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