AI & Data Solution Designer / Architect
Ernst and Young1 day ago
Rome, ItalyStaff+
Responsibilities
- Lead AS-IS assessments, business and non-functional requirements gathering, target architecture design, and transformation roadmaps for AI and data platforms.
- Design and deliver end-to-end AI, GenAI, and agentic solutions, including RAG pipelines, agent orchestration, LLM/SLM integration, MLOps/LLMOps, observability, guardrails, and control mechanisms.
- Define cloud data architectures including lakehouse, medallion, data product, data mesh, semantic-layer, and vector-store patterns.
- Lead build-versus-buy evaluations, software selection, proofs of concept, architecture decision records, and trade-off analysis across cost, scalability, and security.
- Embed security, data governance, privacy, Responsible AI, GDPR, and EU AI Act requirements into solution designs.
- Coordinate multidisciplinary AI and data delivery teams while managing quality, timelines, and budgets.
- Support propositions, offers, RFP responses, effort estimates, work plans, demonstrations, and relationships with technology alliance partners.
- Develop EY AI and data assets and mentor junior colleagues through coaching and professional development.
Requirements
- Master’s degree in engineering, computer science, mathematics, physics, or a related discipline.
- At least 8–10 years of experience in Data and AI, including significant experience in Solution or Enterprise Architecture and team coordination, preferably in consulting.
- Proven experience designing and deploying machine learning and GenAI solutions in enterprise environments.
- Strong knowledge of at least one hyperscaler—Azure, AWS, or GCP—and major data platforms including Databricks, Snowflake, and Microsoft Fabric.
- Proficiency with integration patterns, API and event-streaming approaches, ETL/ELT pipelines, data modeling, CI/CD, and Infrastructure as Code.
- Knowledge of data governance and catalog tools such as Unity Catalog, Microsoft Purview, and Collibra.
- Excellent communication and stakeholder-management skills, including communication with C-level stakeholders and non-technical audiences.
- Excellent written and spoken English.
- Cloud or architecture certifications such as Azure Solutions Architect Expert, AWS Solutions Architect Professional, Databricks, or TOGAF are a plus.
- Experience with AI governance frameworks such as ISO/IEC 42001 or NIST AI RMF is a plus.
- Experience in regulated sectors or large-scale data-centric transformation programs is a plus.
Benefits
- More than 50 hours of technical and management training per year.
- Hybrid work without centrally fixed office days and the possibility of working remotely from abroad for up to 20 days when not traveling.
- International and multidisciplinary teams and mobility opportunities.
- Counselor support from the first day, welfare benefits, and leadership programs.
- Bonus linked to previously communicated and agreed objectives.
- Employment governed by the Italian Commerce Collective Labour Agreement, with contractual level determined according to experience and profile.
Tech Stack
Categories
Solutions Engineering
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.