AI Architect with GCP (m/f)

Job Description & Summary Join PwC's Advanced Technology Solutions   team as an   AI Architect   with GCP (m/f)  and work on   cutting-edge   AI, Generative AI, and cloud transformation projects for leading international clients. T hi s role is   suitable  for   experienced engineers   an d   arch itects   who want to design, build, and scale AI-powered solutions   leveraging   modern cloud technologies. You will define solution architectures, guide technical delivery, and collaborate with both business stakeholders and engineering teams to turn complex business challenges into secure, scalable, and production-ready AI solutions. We are looking for candidates who are   strong in Google Cloud Platform (GCP), confident working with Generative AI technologies, and capable of translating business requirements into robust solution architectures   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.

Design and architect   AI-powered solutions on Google Cloud Platform (GCP) .   Define scalable architectures   lever agi ng   Vertex AI, Gemini,   BigQuery , Cloud Run, GKE, API integrations, and other GCP services .   Design solutions using   Generative AI, LLMs, RAG architectures, AI Agents, and Machine Learning   technologies.   Design integrations between   AI services, cloud platforms, enterprise systems, and data ecosystems .   Validate architectural decisions through   proofs of concept (POCs), experimentation, and hands-on technical work   where needed.   Drive the delivery of   secure, scalable, and production-ready AI applications .   Collaborate with business stakeholders to understand requirements and translate them into scalable technical solutions.   Guide engineering teams through architecture decisions, technical design, and   implementation   best practices.   Actively   leverage   AI-powered development tools   such as   GitHub Copilot, Cursor, Claude Code, and   ChatPwC   to enhance productivity, improve solution quality, and accelerate delivery.     What You Bring   5+ years of experience   in AI Engineering, Machine Learning, Solution Architecture, Cloud Engineering, or Software Engineering.   Strong experience with   Google Cloud Platform (GCP) .   Strong   Python programming skills .   Experience with   Generative AI, LLMs, RAG architectures, AI Agents, or Machine Learning solutions .   Understanding of   cloud-native architectures, APIs, microservices, and distributed systems .   Experience working with   data platforms, databases, and data pipelines .   Understanding of   security, governance, and cloud architecture best practices .   Strong   analytical and problem-solving skills .   Experience working directly with   clients, stakeholders, and technical teams .   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 Additional Information: Salary:  starting from