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PwC

Senior Associate / Manager - Technical AI Security Expert

PwC is hiring a Senior Associate / Manager - Technical AI Security Expert in Zurich, Switzerland. Level rates it ; you can apply on PwC.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • The posting mentions visa sponsorship.
  • The posting mentions GenAI, LLMs and RAG among its tools and skills.
  • Level classes it as a senior role.
  • PwC has 3,800+ other open roles on Level.

AI in this role

Lead technical AI security assessments and threat modeling for generative AI and agentic systems as a cybersecurity expert.

genaillms
ragai-securitythreat-modelingcybersecurityvulnerability-assessmentrisk-management

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Cybersecurity & Privacy

Management Level

Manager

Job Description & Summary

Your TeamAre you driven to contribute to the development of AI Security as part of an engaged professional community? Join our Cybersecurity team and help strengthen our ability to advise clients on the security of AI systems, including GenAI, LLM-based and agentic solutions. You will work with colleagues across Cybersecurity and with Technology specialists & experts from Switzerland and the wider PwC network. The role complements existing strengths in AI Security governance and AI risk by bringing deeper technical AI Security experience into client engagements. We are looking for a technically strong, client-facing advisor who can independently assess how AI solutions are designed and operated, identify credible attack paths and evaluate whether security controls are effective. You will translate your findings into clear risk conclusions, practical control recommendations and prioritised remediation actions, working with specialist engineers where implementation support is required.Your Impact
  • You will lead or deliver the technical component of AI Security assessments, including the review of AI solution design, data flows, trust boundaries, identities, permissions, interfaces, dependencies, logging, containment and human oversight.
  • You will develop and apply practical threat models and abuse cases for AI systems, covering relevant scenarios such as prompt injection, data exfiltration, insecure outputs, excessive agency, tool misuse, poisoning, model or API abuse, and identity or permission failures.
  • You will understand and challenge security considerations across GenAI, LLM-based, RAG and agentic solutions, and translate technical weaknesses into proportionate security requirements, control recommendations and prioritised remediation actions.
  • You will define the objectives and scope of technical testing and control validation, direct specialist activity where required, review the evidence and challenge whether the proposed remediation is sufficient.You will take end-to-end responsibility for AI Security workstreams and, depending on grade and experience, engagements from scoping and project setup through delivery, client communication and quality of outputs.
  • You will work closely with colleagues in AI Security governance and risk so that technical findings are integrated into coherent client conclusions and decisions, and you will mobilise Technology specialists & subject matter experts when deeper implementation or niche expertise is required.
  • You will use your entrepreneurial skills to contribute to the development of AI Security services, methodologies, reusable assets, proposals and thought leadership, helping shape the future of the capability at PwC.
  • You will lead by example, share your technical knowledge and support the development of colleagues, fostering curiosity, collaboration and continuous professional growth.

Your Skill SetWe are looking for a Senior Associate or Manager who combines direct AI Security experience with the ability to structure, challenge and communicate complex technical topics in a client-facing environment.
  • You bring several years of relevant cybersecurity expertise and a recent, demonstrable track record of applying it to AI environments. A background in consulting or another client-facing role is advantageous.
  • You have direct experience with the security of AI systems, including GenAI, LLM-based or agentic solutions, and have led or made a substantial contribution to technical AI Security assessments, threat models, solution-security reviews, control evaluations or remediation activities.
  • You have a strong practical understanding of AI-specific threats and controls and can distinguish material security exposure from theoretical or low-value findings.
  • You can understand and challenge end-to-end AI solution design, including data flows, trust boundaries, identities, permissions, interfaces, tool use, retrieval, dependencies and control evidence, without needing to be the implementation specialist for every component.
  • You can apply threat-modelling or abuse-case techniques and convert technical scenarios into prioritised security requirements, control recommendations and remediation actions.
  • You can define and direct appropriate technical testing or control-validation activity, evaluate the evidence and engage deeper Technology specialists & SMEs where required.
  • You have strong structured problem-solving, workshop leadership, writing and communication skills and can explain complex AI Security issues clearly to both technical and senior stakeholders.
  • You hold a Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Information Security, Engineering or a related field, or bring equivalent relevant professional experience.
  • Relevant professional certifications, recognised AI Security training, or exposure to frameworks and guidance such as NIST AI RMF, ISO 42001, OWASP guidance for LLM applications or MITRE ATLAS are a plus.
  • Experience in professional services, regulated industries or complex multinational environments is advantageous, as is experience contributing to methodologies, propositions, reusable assets, training or thought leadership.
  • You are fluent in English. German and/or French are a strong advantage.

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, Agile Methodology, Analytical Thinking, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Cybersecurity, Cybersecurity Framework, Cybersecurity Policy, Cybersecurity Requirements, Cybersecurity Strategy, Embracing Change, Emotional Regulation, Empathy, Encryption Technologies, Inclusion, Intellectual Curiosity, Learning Agility, Managed Services, Optimism, Privacy Compliance, Professional Courage {+ 13 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

How we rate this

Senior Associate / Manager - Technical AI Security Expert at PwC rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI SecurityThreat ModelingCybersecurityVulnerability AssessmentRisk ManagementGenAILLMs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. Tell me about a project where ai security was part of your work. What did you do?
  3. Tell me about a project where threat modeling was part of your work. What did you do?
  4. Tell me about a project where cybersecurity was part of your work. What did you do?
  5. Tell me about a project where vulnerability assessment was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, AI Security, Threat Modeling, Cybersecurity, and Vulnerability Assessment. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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