Senior GenAI Engineer - Dataiku | ErnstYoung Job

Job Description

Let us introduce you to 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 Artificial Intelligence, with a strong focus on Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP) and MLOps.

You will design, develop and productionize advanced AI solutions, including LLM-based applications, Retrieval-Augmented Generation (RAG) systems and agentic AI solutions. You will experiment with modern AI architectures, develop new approaches tailored to complex business use cases, and evaluate and optimize models, prompts and retrieval pipelines for quality, reliability, latency and cost.

The role requires hands-on experience with Dataiku for building and operationalizing data science, machine learning and GenAI solutions, as well as practical experience with modern GenAI frameworks such as LangChain, LangGraph, AutoGen or Semantic Kernel.

You will collaborate with data scientists, software engineers, cloud and DevOps teams to deliver scalable, secure and production-ready AI capabilities for global business use cases.

To qualify for the role, you must have

• 3+ years of hands-on experience in Data Science, Machine Learning and Artificial Intelligence.

• Strong knowledge and practical experience in Generative AI, LLM-based applications and Agentic AI.

• Strong hands-on experience with Dataiku DSS, including building data and machine learning pipelines, developing and deploying models, and operationalizing AI or GenAI solutions.

• Strong proficiency in Python and practical experience with relevant libraries and frameworks such as PyTorch, TensorFlow, Pandas and Scikit-learn.

• Experience with at least one GenAI or agentic framework such as LangChain, LangGraph, AutoGen or Semantic Kernel.

• Practical experience designing RAG architectures, including chunking, embeddings, vector search, retrieval strategies, reranking and integration with LLMs.

• Strong understanding of NLP techniques, including tokenization, text similarity, embeddings, semantic search and information extraction.

• Experience with at least one major cloud platform: Azure, AWS or GCP.

• Experience designing and integrating AI solutions through APIs and enterprise applications.

• Bachelor's or Master's degree in Computer Science, Engineering or a related field.

Ideally, you’ll also have

• Hands-on experience with Docker, Kubernetes, Git and CI/CD platforms such as Azure DevOps or GitHub Actions.

• Experience implementing MLOps and LLMOps practices, including model and application versioning, automated testing, deployment, evaluation, monitoring and observability.

• Experience evaluating and optimizing LLM applications, including response quality, groundedness, hallucination rate, latency, token usage and cost.

• Knowledge of Responsible AI and Trusted AI practices, including safety, fairness, transparency, explainability and accountability.

• Experience implementing monitoring, logging and observability for production AI systems.

• Experience with vector databases or vector search technologies.

• Understanding of enterprise GenAI security concerns such as data privacy, access control, prompt injection, data leakage and secure RAG architectures.

• Ability to translate complex business requirements into scalable technical AI solutions.

• Strong problem-solving, analytical and communication skills, with the ability to collaborate effectively across engineering, business and operations teams.

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.

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