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Ernst & Young

Global professional services: audit, tax, consulting

AI Architect - AI and Data, Industries

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeDiegem, Machelen, BelgiumNo salary listed

About the Job

Requirements

  • At least 4–5 years of experience.
  • Strong Python skills for AI/ML development, APIs, and rapid prototyping.
  • Solid SQL and data engineering fundamentals, including ETL/ELT, pipelines, and APIs.
  • Hands-on experience with Generative AI concepts, including retrieval-augmented generation (RAG), prompt engineering, agents, embeddings, and vector databases.
  • Understanding of LLMOps/MLOps basics, including deployment, monitoring, evaluation, and guardrails.
  • Familiarity with a cloud platform, preferably Microsoft Azure, Amazon Web Services, or Google Cloud.
  • Ability to move from use case definition through prototype to production deployment.
  • Client-facing consulting skills, including problem framing, stakeholder management, and executive communication.
  • Ability to work in ambiguity and deliver quickly in client environments.

Responsibilities

  • Design, build, and implement AI use cases using major vendors, platforms, tools, and applications including GPT, Mistral, Azure, Copilot, Snowflake, and Databricks.
  • Explore machine learning, deep learning, and generative AI technologies for organizational use cases.
  • Build LLM/RAG features and integrations under guidance by writing clean, tested, and documented code.
  • Support discovery workshops by converting needs into user stories and acceptance criteria, and contribute to demonstrations and feedback sessions.
  • Facilitate discovery workshops and translate identified client needs into user stories and well-defined acceptance criteria.
  • Develop strategies for treating data as a critical asset.
  • Contribute to documentation, reusable accelerators, and squad playbooks informed by field lessons.

Desired Qualifications

  • Experience with Databricks, Snowflake, or modern lakehouse platforms.
  • Knowledge of SAP, MES, or ERP integration environments.
  • Experience with FastAPI, LangChain, LlamaIndex, or similar orchestration frameworks.
  • Exposure to manufacturing, pharma, or supply chain AI use cases.
  • Understanding of Responsible AI, governance, or EU AI Act requirements.
  • Basic understanding of industrial data platforms such as HighByte or FuseFlow.

About the Company

Ernst & Young

Global professional services: audit, tax, consulting

EY provides professional services across Assurance, Tax, Consulting, and Strategy & Transactions through member firms coordinated by EY Global. It serves clients in about 150 countries with cross-disciplinary teams delivering audits, tax planning, technology, risk management, and M&A and strategy advisory. Its global, integrated platform and large network differentiate it by offering coordinated services across disciplines. The goal is to help clients meet regulatory requirements, improve governance and performance, and create value.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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