Senior AI Engineer

**Job Description & Summary** Join PwC's Advanced Technology Solutions team as a **Senior AI Engineer (m/f)**, where you will lead and contribute to AI and data science solutions for leading global clients. This role is suitable for experienced developers and engineers who want to architect, build, and deploy machine learning systems and AI-powered applications at scale. 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 engaging directly 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**  ------------------------- * Lead the design, development, and deployment of **AI** and **Machine Learning** solutions.  * Architect scalable applications leveraging **Generative AI, LLMs, RAG, NLP, Computer Vision, and Data Science** techniques.  * Own **technical solution design** and guide implementation decisions across projects.  * Work directly with clients and stakeholders to understand business requirements and shape **AI solution roadmaps**.  * Drive delivery of **production-ready AI systems** while ensuring high engineering and quality standards.  * Mentor and support team members through **technical leadership, code reviews, and knowledge sharing**.  * 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 business challenges responsibly.  **What You Bring**  ------------------- * **4+ years of experience** in AI, Machine Learning or Software Engineering.  * Strong **Python programming skills** (e.g. pandas, numpy, scikit-learn).  * Proven experience delivering solutions involving **Generative AI, LLMs, RAG, NLP, Machine Learning, or Computer Vision**.  * Experience working with **SQL databases**.  * Experience designing, deploying, and maintaining **production-grade AI systems**.  * Understanding of the **ML lifecycle**, including model training, evaluation, deployment, and monitoring.  * Strong **analytical and problem-solving skills**.  * Experience working directly with **clients, stakeholders, and business users**.  * Ability to **mentor and support less experienced engineers**.  * **English B2+**.  **Get to know us:**  -------------------- * **Sample solution**: https://urbanheatreport.sk.pwc.com/  * **Conference presentation**: https://www.youtube.com/watch?v=v3epaKs2piA  * **Team profile**: https://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](https://www.pwc.com/gx/en/issues/technology/path-to-generative-ai-value.html) **Additional Information:** --------------------------- **Salary:** starting from 2500 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 as well as structured career development plan.   * **Health & Well-being:** Access premium benefits such as Multisport card or a medical center membership. Take advantage of our Well-being and Work-Life Coaching program.  * **Supportive Culture:** Participate in team building 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](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](https://www.pwc.com/sk/en/careers/get-rewarded-for-recommending-candidate.html) #LI-HĎ1