AI Architect
Ernst and Young3 days ago
Katowice, PolandSenior
Responsibilities
- Design, govern, and lead implementation of enterprise-grade AI solutions and platforms.
- Define AI strategies, roadmaps, architecture standards, and governance frameworks.
- Architect end-to-end AI solutions spanning data ingestion, model development, deployment, monitoring, and lifecycle management.
- Apply Generative AI, LLMs, RAG, agentic AI, vector databases, and AI orchestration frameworks to client solutions.
- Drive MLOps, LLMOps, and DevOps practices, including deployment, monitoring, observability, logging, and evaluation.
- Apply trusted AI and security-by-design principles covering fairness, transparency, accountability, security, and compliance.
- Collaborate with business stakeholders, data scientists, software engineers, cloud, security, and operations teams.
- Lead technical teams, architecture reviews, and client-facing AI transformation initiatives.
Requirements
- Minimum five 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.
- Experience architecting end-to-end AI solutions and using Generative AI frameworks and applications.
- Proficiency in Python and familiarity with TensorFlow, PyTorch, LangChain, Hugging Face, and related ecosystems.
- Understanding of RAG, agentic AI systems, vector databases, and modern AI orchestration frameworks.
- Experience with Azure or AWS and cloud-native AI services.
- Strong knowledge of data architecture and data engineering principles, including modeling, governance, integration, and quality.
- Experience designing scalable and secure AI architectures according to enterprise standards and best practices.
- Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- Experience defining AI roadmaps, architecture standards, governance frameworks, trusted AI practices, and enterprise integration solutions is preferred.
- Experience with Docker, Kubernetes, Git, Azure AI Studio, MLflow, and CI/CD platforms is preferred.
- Familiarity with enterprise architecture frameworks, security-by-design, and AI system reliability practices is preferred.
- Experience leading technical teams, architecture reviews, and client-facing AI transformation initiatives is preferred.
Benefits
- Hybrid work arrangement in Katowice with two days in the office and three days remote.
- Continuous learning opportunities, coaching, and career development within EY’s global delivery network.
- The opportunity to work on international projects with EY teams and well-known global brands.
- A diverse and inclusive culture with flexibility and support to make a meaningful impact.
Categories
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.