AI Architect

O projekcie Location: Katowice, 2 days office/3 days remote

AI Architect

Let us introduce you the job offer by EY GDS Poland - a member of the global integrated service delivery center network by EY.

The opportunity

We are seeking a highly skilled and experienced AI Architect with a minimum of 5 years of experience in Artificial Intelligence, Machine Learning, and Solution Architecture. In this role, you will be responsible for designing, governing, and leading the implementation of enterprise-grade AI solutions, helping clients unlock value from data and AI technologies.

You will work closely with business stakeholders, data scientists, engineers, and technology teams to define AI strategies, architect scalable platforms, and deliver innovative solutions leveraging Generative AI, Large Language Models (LLMs), Machine Learning, NLP, MLOps, and cloud technologies.

The ideal candidate combines strong technical expertise with strategic thinking and can translate complex business challenges into robust AI architectures. Experience with AI governance, trusted AI, cloud-native solutions, data architecture, and enterprise integration patterns will be highly valuable in this role.

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across nine locations - Argentina, Hungary, India, the Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom - and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

About EY

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.

In compliance with the requirements of the Whistleblower Protection Act, our company has established the Procedure for reporting breaches of law and undertaking appropriate follow-up actions. Any misconduct should be reported through the EY Ethics Hotline.

Wymagania To qualify for the role, you must have

• Minimum 5 years of experience in AI, Machine Learning, Data Science, or Solution Architecture.
• Proven experience designing and implementing enterprise AI solutions and AI platforms.
• Strong understanding of machine learning, deep learning, Generative AI, and Large Language Models (LLMs).
• Experience architecting end-to-end AI solutions, from data ingestion and model development to deployment and monitoring.
• Knowledge and hands-on experience with Generative AI frameworks and applications.
• Proficiency in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, LangChain, Hugging Face, and related ecosystems.
• Understanding of retrieval-augmented generation (RAG), agentic AI systems, vector databases, and modern AI orchestration frameworks.
• Experience with cloud platforms such as Azure or AWS, including cloud-native AI services.
• Strong knowledge of data architecture and data engineering principles, including data modeling, governance, integration, and data quality.
• Experience designing scalable and secure AI architectures following enterprise standards and best practices.
• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.

Ideally, you’ll also have

• Experience defining AI roadmaps, architecture standards, and governance frameworks for enterprise organizations.
• Apply trusted AI practices to ensure fairness, transparency, accountability, security, and compliance in AI solutions.
• Drive MLOps, LLMOps, and DevOps practices, including continuous integration, continuous deployment, monitoring, and model lifecycle management.
• Utilize tools such as Docker, Kubernetes, Git, Azure AI Studio, MLflow, and CI/CD platforms to build and manage AI solutions.
• Design and implement monitoring, observability, logging, and evaluation frameworks to ensure AI system reliability, performance, and responsible operation.
• Collaborate seamlessly with software engineering, cloud, security, and operations teams for efficient AI solution deployment and integration.
• Familiarity with enterprise architecture frameworks and security-by-design principles.
• Experience leading technical teams, architecture reviews, and client-facing AI transformation initiatives.