Junior Applied AI Engineer Consultant - Industries

EY; Antwerpen, Berchem, Diegem, Sint-Denijs-Westrem; Hybrid; EUR 55,000 - 85,000; Full time

Benefits offered by this job

EY Family

Remuneration package

Mobility budget

Flexible working

Learning & development

AI exposure

Team events & culture

Sustainability

Diversity & Inclusion

Location access

Job summary

EY Consulting is seeking to reinforce its Applied AI Engineering team with a young graduate. You will design and implement AI features, translate business needs into user stories, and deliver secure, enterprise-grade AI solutions for international clients.

A strong focus on LLM/RAG, data governance, and modular code is expected, with flexible working arrangements. As part of EY, you’ll gain exposure to cross-sector projects, build a solid AI engineering foundation and grow through extensive

Qualifications

• Strong Python skills for AI/ML development, APIs and rapid prototyping.
• Solid SQL and data engineering fundamentals (ETL/ELT, pipelines, APIs).
• Hands-on GenAI concepts: RAG, prompts, embeddings and vector databases.
• Understanding of LLMOps basics: deployment, monitoring and guardrails.
• Cloud familiarity (Azure, AWS, or Google Cloud).
• Move from use case definition to prototype to production deployment.
• Ability to work in ambiguity and deliver fast in client environments.

Responsibilities

• Design, build and implement AI use cases with major vendors and tools.
• Explore ML, DL and GenAI to transform client organizations.
• Design and implement LLM/RAG features and integrations with clean code.
• Support discovery workshops and translate needs into user stories.
• Lead client-facing delivery and define acceptance criteria.
• Develop data governance strategies and data as an asset.
• Contribute to documentation and reusable accelerators.

Skills

Python

SQL

GenAI concepts

LLMOps basics

Cloud platforms

Prototype to production

Ambiguity tolerance

Education

Master's student

Tools

Databricks

Snowflake

LangChain

FastAPI

LlamaIndex

Job description

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 (e.g., 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

• Strong Python skills for AI/ML development, APIs, and rapid prototyping;
• Solid SQL and data engineering fundamentals (ETL/ELT, pipelines, APIs);
• Hands-on experience with GenAI concepts: RAG, prompt engineering, agents, embeddings, vector databases;
• Understanding of LLMOps / MLOps basics: deployment, monitoring, evaluation, guardrails;
• Cloud platform familiarity (preferably Microsoft Azure, AWS, or Google Cloud);
• Ability to move from use case definition → prototype → production deployment;
• Ability to work in ambiguity and deliver fast in client environments.

Nice-to-have skills & capabilities

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

What’s In It For You

• EY Family – you become part of the EY Family providing you with all the necessary skills, training and opportunities; enabling you to grow to your fullest potential.
• Attractive remuneration package - We offer an attractive remuneration package; including a company car and charging card, iPhone plus subscription, health insurance, pension plan, meal vouchers, and eco vouchers. Thanks to our flex plan it is possible to choose what you value most.
• Mobility package - You’ll be able to opt-in for the mobility budget. In return for giving up your (right to a) company car, you’ll receive a monthly budget from EY as compensation. This budget will allow you to use your employer-provided compensation for alternative transportation means or similar benefits, incl. reimbursement of housing costs (on condition you live within 10km of your main place of employment).
• Flexible working arrangements - We are proud of our flexible working arrangements. We will actively support you in building a successful career and delivering excellent client service without sacrificing your personal priorities. We offer flexible working hours and working from home multiple days per week is possible.
• Inspiring work environment - At EY we are dedicated to providing you with an inspiring work environment. A work environment that allows you to further develop your skills and enables you to fulfill your true potential.
• Learning & personal growth - You will benefit from an onboarding program, receive extensive training and will be coached by a counselor. We offer a clear career path tailored to your unique skills with necessary guidance.
• Artificial Intelligence – stay up to date with the latest AI trends through our extensive training opportunities and integrated AI systems. You’ll learn how to leverage AI in a smart and efficient way in your day-to-day work, while developing skills to identify, quantify and track value creation when integrating AI into client environments.
• Fun - By joining our EY- teams, you can participate in team activities, and companywide events and enjoy a drink during our monthly after‑work drink.
• Sustainability - We have a fleet of hybrid and electric cars. Our flex plan makes it possible for you to choose the most sustainable option for you. You can also opt for a train subscription or lease a bike.
• Diversity & Inclusion - At EY we are passionate about the inclusion and support of individuals of all groups; we do not discriminate on the basis of race, religion, gender, sexual orientation, or disability status.
• Location - All of our offices are easily accessible by public transport and/or by car and have parking space. They all have parking spaces and charging stations are provided.

Here at EY, you’ll have the chance to build a truly exceptional experience. We’ll empower you with the latest technology, surround you with high-performing teams, and provide the global scale and diverse and inclusive culture you need to discover your full potential. Through our coaching and training programs, you’ll develop the skillsets you need to stay relevant today and in the future – all while building a network of colleagues, mentors, and leaders who will be on the journey with you at EY and beyond.