aimlroles

Director - Cloud, Data & AI (CD&AI) - Generative AI

PwC Open · verified Oct 22, 2026
Zürich Full-time Director AI Engineering

At a glance

Director-level AI Engineering role at PwC. Zürich · full-time.

Pay not stated AI Engineering salary

RoleAI Engineering
SeniorityDirector
LocationZürich
EmploymentFull-time
PostedOct 2, 2026 · 2w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Guide client and PwC teams through engagements, advising clients on how to adopt AI
  • Run discussions and workshops to uncover AI use cases, clarify business needs and shape suitable solutions
  • Collect client requirements and recommend technology to support their digitization progress
  • Spot and manage AI implementation risks involving privacy, security and model performance
  • Build your expertise in technology, data engineering, analytics and consulting practices

What you bring

  • More than ten years working with AI, including machine learning, deep learning, advanced statistics and modelling
  • Recent hands-on experience with generative AI, agentic AI, related cloud technologies and ML engineering
  • A record of leading AI work and delivering effective solutions
  • Experience taking AI offerings to market in Switzerland, with a strong grasp of local business needs
  • Fluent English and willingness to travel within Switzerland and sometimes internationally

Who this fits

This director-level role suits an experienced AI leader who can advise clients, lead teams and deliver projects. You'll need Swiss-market go-to-market experience and must be willing to travel within Switzerland and occasionally abroad. German or French is an advantage, and a master's degree or PhD in a relevant technical or scientific field is preferred.

From the employer

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Director

Job Description & Summary

Your Impact

  • You manage engagements with clients and PwC teams, serving as a key leader within our organization.
  • Act as a trusted advisor to clients, helping them navigate the complexities of AI adoption
  • Lead workshops and discussions with clients or internal stakeholders to identify AI use cases, understand business challenges, and align AI tailored solutions.
  • Facilitate your clients' advancement in digitization by gathering their requirements and proposing state-of-the-art solutions.
  • Anticipate and address potential risks associated with AI implementation, such as data privacy, security, and model performance.
  • Implement and continuously expand your knowledge of best practices in technology, data engineering, analytics, and consulting approach.

Your Skill Set

  • A university master’s degree or PhD in fields such as artificial intelligence, computer science, physics, mathematics, or any natural sciences or engineering discipline is preferred.
  • Over 10 years of work experience evidencing experience with artificial intelligence technologies (such as machine learning, deep learning, advanced statistics and modelling) and more recently in Generative AI (including Agentic AI, GenAI-related cloud technologies, ML engineering).
  • As experienced hire, you have a solid track record in delivering and overachieving on your projects and you can rely on your network within AI space.
  • Proven experience in AI leadership roles, with a track record of delivering impactful AI solutions. Consulting experienced is considered a plus.
  • Proven go-to-market experience within the Swiss market is mandatory, with a strong understanding of local business dynamics and needs.
  • Fluency in English with a willingness to travel within Switzerland and occasionally internationally; German or French language skills are considered a plus.

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)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Analytics Strategy, Architecture Development, Business Architecture, Business Model Innovation, Business Transformation, Cloud Computing, Coaching and Feedback, Commercial Strategies, Communication, Creativity, Digital Customer Experience, Digital Strategies, E-Commerce, Embracing Change, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Influence, Information Technology Applications, Innovation {+ 23 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date