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Ernst & Young

Global professional services: consulting, assurance, tax

AI & Data Solution Designer / Architect

Applied Machine LearningUpdated on Nov 14
Full-timeRome, Metropolitan City of Rome Capital, Italy

About the Job

Requirements

  • A 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 Architect roles and team coordination, preferably in consulting.
  • Proven experience designing and deploying machine learning and generative AI solutions in enterprise environments.
  • Strong knowledge of at least one hyperscaler: Azure, AWS, or GCP, and of major data platforms: Databricks, Snowflake, or Microsoft Fabric.
  • Proficiency in integration patterns such as APIs and event streaming, ETL/ELT pipelines, data modeling, continuous integration and continuous delivery, and Infrastructure as Code.
  • Knowledge of data governance and catalog frameworks and tools, such as Unity Catalog, Microsoft Purview, or Collibra.
  • Excellent communication and stakeholder management skills, including at C-level, and the ability to explain complex concepts to non-technical audiences.
  • Excellent written and spoken English.

Responsibilities

  • Lead current-state assessments of data and AI platforms, gather business and non-functional requirements, and design target architectures for data platforms, integration, and AI/generative AI layers, including an evolution roadmap.
  • Design end-to-end AI, generative AI, and agentic solutions, including retrieval-augmented generation pipelines, agent orchestration, large and small language model integration, machine learning and large language model operations, observability, guardrails, and control mechanisms.
  • Define modern data architectures, including lakehouse and medallion architectures, data products, data mesh, semantic layers, and vector stores on cloud platforms and platforms such as Databricks, Snowflake, and Microsoft Fabric.
  • Lead build-versus-buy evaluations, software selection, and proofs of concept; document architecture decisions and trade-offs involving cost, scalability, and security.
  • Integrate security, data governance, privacy, and responsible AI requirements, including GDPR and the EU AI Act, in coordination with Data Governance and Risk teams.
  • Coordinate multidisciplinary teams of AI and data engineers, data scientists, architects, and developers, ensuring project quality, schedules, and budgets.
  • Contribute to propositions, proposals, and RFP responses, including solution design, effort estimates, and work plans; prepare demos and manage relationships with key technology alliance partners.
  • Contribute to the development of EY AI and Data assets and accelerators, and support junior colleagues' professional development through coaching and mentoring.

Desired Qualifications

  • Cloud or architecture certifications, such as Azure Solutions Architect Expert, AWS Solutions Architect Professional, Databricks certifications, or TOGAF.
  • Experience with AI governance frameworks such as ISO/IEC 42001 or the NIST AI Risk Management Framework.
  • Experience in regulated sectors or data-centric transformation programs at large groups.

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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