PwCPosted 2w ago

(Senior) Manager – Advanced AI & Intelligent Systems

(Senior) Manager – Advanced AI & Intelligent Systems at PwC scores 68 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

ZürichseniorFull time

AI in this role

ragai-research

Line of Service

Tax

Industry/Sector

Not Applicable

Specialism

Tax Products Delivery Group (TPDG)

Management Level

Manager

Job Description & Summary

We are an interdisciplinary team of AI engineers, domain experts and solution architects building intelligent systems for knowledge-intensive environments. We combine frontier models with deep domain expertise and enterprise data to tackle hard problems in reasoning, agentic systems, knowledge architectures and human–AI collaboration.

Our ambition goes beyond automation, we explore how AI can augment expertise, improve decisions and change how professional work gets done.
We deliver enterprise AI platforms, reusable accelerators and proprietary IP to help organisations scale AI, advising on where it fits, how to implement it and what's production-ready today.

You will join a diverse, international team of AI, data, and subject matter specialists who work closely together, learn from each other, and bring ideas to market quickly. As a Senior Manager, you set the direction for engagements, take a leading role in client relationships, and help grow our AI and business transformation offering.

You work directly with senior stakeholders on AI and data strategies, define architectures and solution blueprints, and ensure solutions are robust, scalable, and adopted in practice. You also drive our innovation agenda and help build our market presence and pipeline.

Your Impact

You will work at the intersection of AI, complex domain problems and real-world systems, turning emerging technical possibilities into solutions that create measurable impact.

Identify problems worth solving. Understand complex legal, tax and corporate environments and determine where AI can fundamentally improve how work and decisions happen.
Shape the technical vision. Design intelligent systems across models, agents, knowledge, retrieval, enterprise integration and human interaction, making informed trade-offs across capability, cost, latency, security and reliability.
Build and test new concepts. Work with engineers and domain experts to rapidly prototype, evaluate and turn the strongest ideas into production-grade systems.
Create reusable IP. Turn what we learn into architectures, accelerators and capabilities that can scale across clients and domains.
Advise senior leaders. Translate complex technology into clear choices and help executives rethink how their organisations operate with AI.
Lead multidisciplinary teams of engineers, domain experts and consultants from ambiguous problem through to working solution.
Stay close to the frontier. Evaluate emerging research, models and technologies and determine what is genuinely useful, bringing the best ideas into our work.

Your Skill Set

This role sits at the intersection of deep technical understanding, applied AI and advisory. You can move from first principles and emerging AI research to architecture and real-world implementation; and credibly challenge both engineers and senior business stakeholders.

Master's or PhD in Computer Science, AI, Data Science, Engineering or a related technical field, or equivalent exceptional experience.
7+ years' experience building, architecting or leading sophisticated AI/data solutions in complex environments.
Deep understanding of LLMs, agentic systems, RAG, evaluation and modern AI architectures, with strong technical judgment about what works in production. Technically hands-on: fluent in Python and/or TypeScript and able to prototype, review code and challenge architectural decisions.
Experience designing secure, production-grade AI systems, including enterprise integration, data privacy, access control and auditability.
Strong interest in reasoning, knowledge representation and intelligent systems; experience with knowledge graphs, ontologies or semantic architectures is a plus.
Ability to turn ambiguous problems into clear concepts, architectures and working solutions, and communicate them to both engineers and senior executives.
Product mindset: curiosity beyond the technology itself and the ambition to turn successful ideas into reusable solutions and IP.
Fluent in English. German fluency is a strong 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, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility {+ 30 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

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Skills and AI tools this role asks for

RagAI Research

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
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If you removed AI from this role, what would be left, and how do you decide what still needs a human?

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List these exact terms on your resume: Rag and AI Research. An applicant tracking system matches the wording, not the idea.
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