AI Architect
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belgium belgium
EY
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ppOur AI 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. /p pJoin 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. /p h3Your
Key Responsibilities
/h3 ul liArtificial Intelligence: Designing, building and implementing AI use cases, working with the major vendors, platforms, tools and applications: GPT, Mistral, Azure, CoPilot, Snowflake, Databricks, …; /li liAI-Driven Innovation:Explore cutting‑edge technologies like Machine Learning, Deep Learning, and GenAI to revolutionize entire organizations; /li liSolution design implementation:Build LLM/RAG features and integrations under guidance by writing clean, tested and documented codes; /li liSupport discovery workshops: convert needs into user stories and acceptance criteria, contribute to demonstrations and feedback sessions; /li liClient-facing delivery:Facilitate discovery workshops and translate identified needs into user stories and well‑defined acceptance criteria; /li liData Quality Governance:Develop strategies for treating data as a critical asset; /li liProduct mindset continuous improvement:Contribute to documentation, reusable accelerators and squad playbooks informed by field lessons. /li /ul h3Your Profile /h3 pYou have at least 4-5 years of
experience:
/p h3Must-have skills capabilities /h3 ul liStrong Python skills for AI/ML development, APIs, and rapid prototyping /li liSolid SQL and data engineering fundamentals (ETL/ELT, pipelines, APIs) /li liHands‑on experience with GenAI concepts: RAG, prompt engineering, agents, embeddings, vector databases /li liUnderstanding of LLMOps / MLOps basics: deployment, monitoring, evaluation, guardrails /li liCloud platform familiarity (preferably Microsoft Azure, AWS, or Google Cloud) /li liAbility to move from use case definition → prototype → production deployment /li liAbility to work in ambiguity and deliver fast in client environments /li /ul h3Nice-to-have skills capabilities /h3 ul liExperience with Databricks, Snowflake, or modern lakehouse platforms /li liKnowledge of SAP / MES / ERP integration environments /li liExperience with FastAPI, LangChain, LlamaIndex, or similar orchestration frameworks /li liExposure to manufacturing / pharma / supply chain AI use cases /li liUnderstanding of Responsible AI / governance / EU AI Act requirements /li liBasic understanding of industrial data platforms like HighByte or FuseFlow /li /ul h3What’s In It For You /h3 ul libEY Family /b – 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. /li libAttractive remuneration package /b
-
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. /li libMobility package /b
- 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). /li libFlexible working arrangements /b
- 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. /li libInspiring work environment /b
- 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. /li libLearning personal growth /b
- 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. /li libArtificial Intelligence /b – 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. /li libFun /b
- By joining our EY
- teams, you can participate in team activities, and companywi
Key Responsibilities
/h3 ul liArtificial Intelligence: Designing, building and implementing AI use cases, working with the major vendors, platforms, tools and applications: GPT, Mistral, Azure, CoPilot, Snowflake, Databricks, …; /li liAI-Driven Innovation:Explore cutting‑edge technologies like Machine Learning, Deep Learning, and GenAI to revolutionize entire organizations; /li liSolution design implementation:Build LLM/RAG features and integrations under guidance by writing clean, tested and documented codes; /li liSupport discovery workshops: convert needs into user stories and acceptance criteria, contribute to demonstrations and feedback sessions; /li liClient-facing delivery:Facilitate discovery workshops and translate identified needs into user stories and well‑defined acceptance criteria; /li liData Quality Governance:Develop strategies for treating data as a critical asset; /li liProduct mindset continuous improvement:Contribute to documentation, reusable accelerators and squad playbooks informed by field lessons. /li /ul h3Your Profile /h3 pYou have at least 4-5 years of
experience:
/p h3Must-have skills capabilities /h3 ul liStrong Python skills for AI/ML development, APIs, and rapid prototyping /li liSolid SQL and data engineering fundamentals (ETL/ELT, pipelines, APIs) /li liHands‑on experience with GenAI concepts: RAG, prompt engineering, agents, embeddings, vector databases /li liUnderstanding of LLMOps / MLOps basics: deployment, monitoring, evaluation, guardrails /li liCloud platform familiarity (preferably Microsoft Azure, AWS, or Google Cloud) /li liAbility to move from use case definition → prototype → production deployment /li liAbility to work in ambiguity and deliver fast in client environments /li /ul h3Nice-to-have skills capabilities /h3 ul liExperience with Databricks, Snowflake, or modern lakehouse platforms /li liKnowledge of SAP / MES / ERP integration environments /li liExperience with FastAPI, LangChain, LlamaIndex, or similar orchestration frameworks /li liExposure to manufacturing / pharma / supply chain AI use cases /li liUnderstanding of Responsible AI / governance / EU AI Act requirements /li liBasic understanding of industrial data platforms like HighByte or FuseFlow /li /ul h3What’s In It For You /h3 ul libEY Family /b – 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. /li libAttractive remuneration package /b
-
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. /li libMobility package /b
- 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). /li libFlexible working arrangements /b
- 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. /li libInspiring work environment /b
- 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. /li libLearning personal growth /b
- 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. /li libArtificial Intelligence /b – 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. /li libFun /b
- By joining our EY
- teams, you can participate in team activities, and companywi