Senior GenAI Engineer

O projekcie Location: Katowice / Wrocław - 2 days in office / 3 days remote

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 Senior GenAI Engineer with at least 3 years of experience in Data Science, Machine Learning and key areas such as NLP, Generative AI, LLMs and MLOps. The ideal candidate will design and implement advanced AI models and systems while leveraging modern frameworks like LangChain, LangGraph or agentic AI technologies. The role includes developing new AI approaches and solutions, experimenting with cutting-edge architectures and driving innovation across business use cases. Additionally, experience in data engineering and cloud platforms will be valuable in delivering scalable and high‑impact AI capabilities.

It would be beneficial to expand the description by adding more specific details about designing and implementing new AI solutions-particularly in the areas of Generative AI, LLM-based architectures, NLP techniques, and MLOps practices. Highlighting work on developing new approaches, optimizing AI models, and applying advanced frameworks such as LangChain, LangGraph, or Agentic AI frameworks would help better reflect the innovative and technical nature of this Senior GenAI Engineer 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

• 3+ years of experience in Data Science and Artificial Intelligence.
• Knowledge and experience in Generative AI (GenAI) including Agentic AI.
• Proficiency in Python programming language and frameworks like TensorFlow, PyTorch, Pandas or Scikit-Learn.
• Knowledge of at least one framework like LangChain, LangGraph, AutoGen, Semantic Kernel or other.
• Strong understanding of Natural Language Processes (NLP) techniques such as tokenization, string comparison and embeddings.
• Experience with cloud platforms such as Azure, AWS or GCP.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Ideally, you’ll also have

• Hands-on experience with tools such as Docker, Kubernetes, and Git or Azure DevOps to build and manage AI pipelines including MLOps practices, covering CI/CD, and monitoring of AI.
• Know trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Implement monitoring and logging tools to ensure AI model performance and reliability.
• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
• Demonstrate excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.