(Senior) Manager – Advanced AI & Intelligent Systems

PwC Zürich, Zurich – Schweiz Veröffentlicht am 25/09/2026
Stellenbeschreibung
Overview

In this Senior Manager role, you guide AI and data strategy at the intersection of complex domains and real-world systems. You shape architectures, lead multi-disciplinary teams, and advance an enterprise AI transformation that scales across clients. You’ll translate research into production-ready solutions, building reusable IP and advising senior leaders on AI-enabled transformations. This position blends strategic leadership with hands-on architecture work to deliver measurable impact.

Verantwortungsbereiche
  • Define the technical vision and architectures for AI/data solutions
  • Lead multidisciplinary teams from problem framing to production-ready systems
  • Prototype, test, and turn concepts into scalable, secure implementations
  • Create reusable IP, accelerators, and architectural patterns
  • Advise senior leaders and translate technology choices for business impact
  • Stay close to frontier research to bring valuable ideas into practice
  • Drive the innovation agenda and contribute to market presence and pipeline
Zentrale Anforderungen
  • 7+ years of experience building or leading sophisticated AI/data solutions in complex environments
  • Master's or PhD in Computer Science, AI, Data Science, Engineering or related technical field (or equivalent exceptional experience)
  • Deep understanding of LLMs, agentic systems, RAG, evaluation and modern AI architectures
  • Proficiency in Python and/or TypeScript; ability to prototype and review code
  • Experience designing secure, production-grade AI systems with enterprise integration, data privacy, access control and auditability
  • Knowledge of knowledge graphs, ontologies, or semantic architectures is a plus
  • Strong ability to communicate complex concepts to engineers and senior executives
  • Fluency in English; German would be a strong plus
  • Communication
  • Analytical thinking
  • Learning agility
  • LLMs and agentic systems
  • RAG and modern AI architectures
  • Enterprise integration and data privacy
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