Junior Applied AI Engineer Consultant
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EY Consulting is a fast-moving, high-growth area within EY, and this has huge potential for you. It offers variety, challenge, responsibility and the opportunity to realize your leadership potential. Our competency teams are focused on helping our clients to improve their business performance and operational efficiency, whilst managing risk. We help clients by delivering assessment, transformation and assurance solutions in specialty areas, like finance, supply chain, strategic choices, risk management, cyber security and technology.
Industries: You will not be limited to a specific sector, allowing you to work with clients across various industries, including transport, logistics, manufacturing, oil & gas, pharma, retail, service providers, etc. This is applied to all of our service lines: Assurance, Consulting, Strategy and Transactions, Tax & Legal and Accounting, Compliance & Reporting.
Shape the future with confidence.
The Opportunity: Your Next Adventure Awaits?
Our Applied AI Engineering team delivers production-grade AI systems in various industries & organizations. This cross-sector model gives you broad exposure to different regulatory environments, data landscapes and operating models, while building deep engineering capability that transfers across industries. Join a team that is building real AI‑powered solutions for international clients in different sectors. You’ll translate business challenges into user stories, implement early features (, LLM/RAG), and learn how to deliver secure, reliable solutions in enterprise settings. We're looking for young graduates to reinforce our team on the 11th of January or 23rd of August 2027.
Your Key Responsibilities
Artificial Intelligence: Designing, building and implementing AI use cases, working with the major vendors, platforms, tools and applications: GPT, Mistral, Azure, CoPilot, Snowflake, Databricks, …; AI-Driven Innovation: Explore cutting-edge technologies like Machine Learning, Deep Learning, and GenAI to revolutionize entire organizations; Solution design & implementation: Build LLM/RAG features and integrations under guidance by writing clean, tested and documented codes; Support discovery workshops: convert needs into user stories and acceptance criteria, contribute to demonstrations and feedback sessions; Client-facing delivery: Facilitate discovery workshops and translate identified needs into user stories and well-defined acceptance criteria; Data Quality & Governance: Develop strategies for treating data as a critical asset; Product mindset & continuous improvement: Contribute to documentation, reusable accelerators and squad playbooks informed by field lessons.Your Profile
Strong affinity with AI and genuine interest in applying new AI trends in a professional context; Agile, growth-oriented mindset; Curiosity and purpose-driven attitude; Inclusive team player embracing diverse perspectives; Last year Master's student in Information Technology, Engineering, Computer Science, Commercial Engineering or related; Fully fluent in Dutch with strong proficiency in English. French is a plus; Analytical, results-oriented, and excellent communication skills.Must-have technical skills & capabilities
Nice-to-have skills & capabilities
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