Job Description & Summary Join PwC's Advanced Technology Solutions team as an AI Engineer (m/f), where you will contribute to AI and data science solutions for leading global clients. This role is suitable for developers and engineers who want to build, deploy, and scale machine learning systems and AI-powered applications in a dynamic consulting environment. We are looking for candidates who are strong in Python, confident working with data, and capable of turning complex business challenges into reliable, production-ready AI solutions while collaborating with clients across Western Europe and the USA. 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 - Design, develop, and deploy AI and Machine Learning solutions. - Build Python-based applications leveraging Generative AI, LLMs, RAG, NLP, Computer Vision, and Data Science techniques. - Participate in the full project lifecycle, from requirements gathering through deployment and ongoing support. - Collaborate with clients and internal teams to understand business challenges and translate them into scalable technical solutions. - Work with structured and unstructured data to develop AI-driven applications. - 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 - 1–2+ years of experience in AI, Machine Learning or Software Engineering. - Strong Python programming skills (e.g. pandas, numpy, scikit-learn). - Hands-on experience with Generative AI, LLMs, RAG, NLP, Machine Learning, or Computer Vision. - Experience working with SQL databases. - Understanding of the ML lifecycle, including model training, evaluation, deployment, and monitoring. - Strong analytical and problem-solving skills. - English B2+. ## Get to know us: - Sample solution: [https://urbanheatreport.sk.pwc.com/](http://urbanheatreport.sk.pwc.com/) - Conference presentation: [https://www.youtube.com/watch?v=v3epaKs2piA](http://www.youtube.com/watch?v=v3epaKs2piA) - Team profile: [https://jobs-cee.pwc.com/sk/sk/solvers-of-pwc-adam-knaze](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](http://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](http://www.pwc.com/gx/en/issues/technology/path-to-generative-ai-value.html) ## Additional Information: Salary: starting from 2000 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.) 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, flexible working hours, 2 extra days off during Christmas along with Sick-days. 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. 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. ## 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 #LI-HĎ1