AI Architect with GCP (m/f)
pwc · Bratislava ·
- Work mode
- Hybrid
- Category
- Architecture
- Experience
- 5+ years
- Company size
- 1000+
- Salary
- EUR 3,500 / month
pwc · Bratislava ·
PwC Lviv SDC · UA
State Street · Quincy, Massachusetts
State Street · Quincy, Massachusetts
ocbc · OCBC Singapore
Designs and scales AI-powered solutions on Google Cloud Platform (GCP) for global clients, focusing on Generative AI, LLMs, and cloud-native architectures like Vertex AI, BigQuery, and GKE.
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.This role is suitable for experienced engineers and architects 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 leveraging 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.
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+.
Sample solution:
Conference presentation: https://www.youtube.com/watch?v=v3epaKs2piA
Team profile:
In media:
Thought leadership:
Salary: starting from 3500 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
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.
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.
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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:
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Manulife Financial · Toronto, Ontario