About the role
from listingJob 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
In media : https://amcham.sk/publications/issues/2026-2-innovation-in-the-digital-age/article/274447/why-agentic-ai-projects-fail
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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