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PwC ищет менеджера по архитектуре AI в рамках практики Data & AI Consulting. Вы будете проектировать масштабируемые AI-решения для клиентов, руководить межфункциональными командами и внедрять принципы безопасной и ответственной AI‑магистрали.
Требуется опыт работы в консалтинге или клиентском окружении, знание LLM, RAG и облачных платформ (Azure/AWS/GCP), а также сильные навыки коммуникации и управления проектами.
Line of Service Advisory Industry/Sector Insurance Specialism Application / Solution Architecture Management Level Manager
Design scalable, secure, and responsible AI solutions across data, cloud, and enterprise environments. Shape solution architecture for AI programmes from discovery and design through to deployment. Build and implement AI-powered applications using LLMs, agentic AI, and retrieval-augmented generation (RAG). Lead and mentor cross-functional teams of AI engineers, data specialists, and product professionals. Embed governance, security, observability, and responsible AI principles throughout the solution lifecycle. Partner with clients to define AI strategies, identify high-value use cases, and drive business outcomes.
Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Degrees/Field of Study preferred: Certifications (if blank, certifications not specified)
PwC's Data & AI Consulting practice is helping organisations unlock the value of Artificial Intelligence, Data and emerging technologies. Our team works with some of the world's leading organisations to design AI strategies, build scalable solutions and transform how businesses operate. As demand for AI continues to accelerate, we are growing our AI Architecture capability and are looking for talented individuals who can combine deep technical expertise with strong consulting and stakeholder management skills. You will join a collaborative team of AI specialists, architects, consultants and industry experts who work together to solve complex business challenges and shape the future of AI adoption across multiple sectors. Experience designing and delivering enterprise AI solutions in consulting, advisory or client-facing environments. Strong understanding of AI architecture, data platforms, cloud technologies and enterprise integration patterns. Hands-on experience with Agentic AI, LLMs, RAG, orchestration frameworks and AI governance. Experience working with Azure, AWS or GCP cloud platforms. Knowledge of APIs, microservices, DevSecOps and modern engineering practices. Strong stakeholder management and communication skills with the ability to explain technical concepts to non-technical audiences. Experience leading teams, workstreams or technology programmes in complex client environments. Commercial awareness and an ability to translate business challenges into practical technology solutions.