AI Architect
Ernst and Young3 days ago
Katowice, PolandSenior
Responsibilities
- Design and govern enterprise-grade AI solutions and scalable AI platforms.
- Define AI strategies, roadmaps, architecture standards, and governance frameworks.
- Lead end-to-end AI solution architecture from data ingestion and model development through deployment, monitoring, and lifecycle management.
- Develop and manage generative AI, LLM, RAG, agentic AI, and machine learning solutions.
- Drive MLOps, LLMOps, and DevOps practices, including deployment, monitoring, and model lifecycle management.
- Design monitoring, observability, logging, and evaluation frameworks for AI system reliability and responsible operation.
- Collaborate with software engineering, cloud, security, operations, data, and business 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 working with generative AI frameworks and applications.
- Proficiency in Python and familiarity with TensorFlow, PyTorch, LangChain, Hugging Face, and related ecosystems.
- Knowledge of retrieval-augmented generation, 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 using 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, and governance frameworks.
- Knowledge of trusted AI, fairness, transparency, accountability, security, compliance, enterprise architecture frameworks, and security-by-design.
- Experience with Docker, Kubernetes, Git, Azure AI Studio, MLflow, and CI/CD platforms.
- Experience leading technical teams, architecture reviews, and client-facing AI transformation initiatives.
Benefits
- Hybrid work arrangement in Katowice or Wrocław with two days in the office and three days remote.
- Continuous learning and opportunities to develop new skills and insights.
- Tools and flexibility to make a meaningful impact and define success personally.
- Transformative leadership through coaching, insights, and career development.
- Diverse and inclusive global culture with collaboration across EY teams and international locations.
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.