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Ernst & Young

Global professional services: consulting, assurance, tax

Junior Applied AI Engineer Consultant - Industries

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Strong affinity with AI and genuine interest in applying new AI trends in a professional context.
  • Be a last-year Master's student in Information Technology, Engineering, Computer Science, or Commercial Engineering, or a related field.
  • Be fully fluent in Dutch and have strong proficiency in English; French is a plus.
  • Have strong Python skills for AI/ML development, APIs, and rapid prototyping.
  • Have solid SQL and data engineering fundamentals, including ETL/ELT, pipelines, and APIs.
  • Have hands-on experience with generative AI concepts, including RAG, prompt engineering, agents, embeddings, and vector databases.
  • Understand LLMOps/MLOps basics, including deployment, monitoring, evaluation, and guardrails.
  • Have familiarity with a cloud platform, preferably Microsoft Azure, AWS, or Google Cloud.
  • Be able to move from use case definition through prototype to production deployment.
  • Have client-facing consulting skills, including problem framing, stakeholder management, and executive communication.
  • Be able 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 such as 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.
  • French proficiency.

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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