AI Manager (m/f)
PwC is hiring an AI Manager (m/f) in Bratislava, Slovakia. Level rates it ; you can apply on Level.
AI in this role
AI manager to lead cross-functional teams in developing and delivering enterprise AI and data science solutions at PwC.
Job Description & Summary
Join PwC's Advanced Technology Solutions team as an AI Manager (m/f), where you will lead the development and delivery of AI and data science solutions for leading global clients. This role is ideal for experienced leaders who combine deep AI expertise with strong leadership capabilities and want to build, mentor, and scale high-performing teams while driving transformative AI initiatives in a dynamic consulting environment.
At PwC, AI proficiency is a core capability for modern developers, helping deliver faster, higher-quality, and more innovative solutions. We use AI across software development, data engineering, cloud, automation, and analytics, with tools such as GitHub Copilot, Cursor, Claude Code, and our own ChatPwC. Through collaborations with leaders like Microsoft and OpenAI, we bring state-of-the-art AI into everyday work. We expect candidates to actively use AI tools to boost productivity, improve problem-solving, and deliver scalable, high-impact solutions responsibly.
Key Responsibilities
- Lead and manage cross-functional teams of AI engineers, data scientists, and software developers delivering AI and Machine Learning solutions.
- Design and architect scalable AI solutions leveraging Generative AI, LLMs, RAG, NLP, Computer Vision, and Data Science techniques.
- Drive end-to-end project delivery from requirements gathering through deployment and ongoing support, ensuring quality and timelines are met.
- Engage with clients and internal stakeholders to understand business challenges and translate them into effective, scalable technical strategies.
- Mentor team members, develop their capabilities, and foster a culture of technical excellence and continuous learning.
- Establish best practices for AI development, deployment, and governance across the team.
- Actively leverage AI-powered development tools such as GitHub Copilot, Cursor, Claude Code, and ChatPwC to enhance productivity, improve code quality, accelerate delivery, and solve complex problems responsibly.
What You Bring
- 5+ years of experience in AI, Machine Learning, or Software Engineering, with proven track record leading technical teams.
- Demonstrated success managing cross-functional teams and delivering complex AI/data science projects end-to-end.
- Strong expertise in Python and machine learning frameworks (e.g., pandas, numpy, scikit-learn).
- Hands-on experience with Generative AI, LLMs, RAG, NLP, Machine Learning, or Computer Vision.
- Solid understanding of ML lifecycle, including model training, evaluation, deployment, and monitoring.
- Experience with SQL databases and data engineering practices.
- Excellent stakeholder management and communication skills—able to influence senior-level clients and executives.
- Strategic mindset with the ability to align technical solutions with business goals and ROI.
- Strong analytical and problem-solving skills with business acumen.
- English B2+.
Get to know us:
- Sample solution: https://urbanheatreport.sk.pwc.com/
- Conference presentation: https://www.youtube.com/watch?v=v3epaKs2piA
- Team profile: http://jobs-cee.pwc.com/sk/sk/solvers-of-pwc-adam-knaze
- Thought leadership: https://www.pwc.com/gx/en/issues/technology/path-to-generative-ai-value.html
Additional Information:
Salary: From 4000 EUR/month
(The stated salary represents the minimum for this position. Final compensation is determined individually based on your experience, expertise, seniority, and overall profile. In addition, we offer a performance-based bonus linked to individual results and the company’s success.)
Employing organization: PricewaterhouseCoopers Advisory, s.r.o.
Start date: By agreement
Benefits you can enjoy while working at PwC:
- Financial Rewards: Benefit from regular salary reviews, performance bonuses and other special bonuses. Enjoy meal contributions and a cafeteria benefit system offering personalized choices.
- Flexibility & Work-Life Balance: Enjoy our hybrid working policy and flexible working hours, plus extra time off for sick days. You’ll also receive 2 volunteer days and 2 firm-appointed holiday days, subject to management approval on designated dates. Every minute of your extra work is valued and compensated.
- Career Development: Engage in tailored internal and external training programs, benefit from a structured career development plan, and as an employee take advantage of discounts of up to 30% on internationally recognized certifications and qualifications from leading organizations through our PwC Academy.
- Health & Well-being: Access premium benefits such as physiotherapy consultations, Multisport card and medical center membership. Take advantage of our Well-being and Work-Life Coaching program.
- Supportive Culture: Participate in teambuilding activities and social events and join our employee referral program. Experience a culture with regular feedback and a supportive environment.
- Global Opportunities: Seize the opportunity for international assignments and work on diverse projects with international clients. Explore the world while working with the possibility of working from abroad.
- Extra perks: Use various discounts at partner companies such as cars, health care, beauty, culture or others. Transfer up to 4 telephone numbers at discounted rates.
Information about the selection process:
At PwC, we believe in nurturing your career, supporting your health and wellness, and recognizing your dedication. Join our team and experience a workplace that values you beyond your work hours.
If you'd like to apply for this position, please click on the "Apply Now" button on our website and apply through our system.
You can find the data privacy announcement here: https://pwc.to/2s8n2tn
If the current position is not right for you but you have friends or acquaintances in your area who could be interested in working with us, feel free to direct them to us. If we establish cooperation with a candidate recommended by you, you can receive a reward from 300 to 1000 EUR, depending on the seniority of the candidate: https://www.pwc.com/sk/en/careers/get-rewarded-for-recommending-candidate.html
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How we rate this
AI Manager (m/f) at PwC rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a project where artificial intelligence was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, Computer vision, NLP, Artificial Intelligence, and Machine learning. 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.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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