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Ernst & Young

Global professional services: consulting, assurance, tax

AI Architect

Applied Machine LearningUpdated on Nov 14
Full-timeKatowice, PolandNo salary listed

About the Job

Requirements

  • Minimum 5 years of experience in Artificial Intelligence, 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.

Responsibilities

  • Design, govern, and lead the implementation of enterprise-grade AI solutions to help clients unlock value from data and AI technologies.
  • Work closely with business stakeholders, data scientists, engineers, and technology teams to define AI strategies, architect scalable platforms, and deliver solutions leveraging Generative AI, Large Language Models (LLMs), Machine Learning, NLP, MLOps, and cloud technologies.

Desired Qualifications

  • 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 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.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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