AI Engineer

Bleckmann-Belgi; Waregem; Hybride; EUR 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

Hybrid work options

International exposure

Résumé du poste

Bleckmann is seeking an AI Developer to design, build, and deploy AI-driven solutions that turn business challenges into scalable AI capabilities. You will collaborate with stakeholders, IT, and data engineers to deliver forecasting, classification, and optimization models.

You will implement end-to-end AI pipelines on Snowflake, leverage GenAI, embeddings, and RAG techniques, and ensure data quality, governance, and responsible AI practices across the lifecycle.

Qualifications

• Strong programming in Python for AI/ML and data processing.
• Solid SQL skills and experience with Snowflake or similar cloud platforms.
• Experience with ML techniques and GenAI/LLMs; integration with APIs.

Responsabilités

• Design and develop AI/ML and GenAI solutions for prioritized use cases.
• Build scalable AI pipelines using Snowflake and integrated tools.
• Develop, test, and deploy models (forecasting, classification, optimization).
• Translate PoCs into production-ready solutions and integrate with BI/workflows.
• Ensure governance, data quality, and security in AI solutions.

Connaissances

Python

SQL

Snowflake

ML/AI

GenAI/LLMs

Prompt engineering

RAG

Embeddings

APIs

Data pipelines

MLOps

Semantic layer

Performance optimization

Outils

Snowflake

OpenAI

Azure AI

Description du poste

Ready to Join the Backstage Crew?At Bleckmann, we’ve been delivering on promises since 1862. As a market leader in supply chain management for fashion and lifestyle brands, we keep the show running behind the scenes — from moving boxes to moving data, from pack & ship to IT and HR.But we’re not just logistics experts. We’re The Backstage Crew — a tight-knit team of 6,500+ people who make fashion and lifestyle brands shine by doing the work that matters most, out of the spotlight but never out of impact.Whether you're on the warehouse floor or behind a screen, you’ll find:Strong connections with colleagues who support and celebrate you.Fast growth in a company that’s expanding across Europe, the US, and Asia.High energy in a dynamic environment where no two days are the same.Guided freedom to take initiative, solve problems your way, and grow your career.We believe in entrepreneurship, expertise, excellence, and engagement — and we live these values every day. From repairing returned goods to reducing waste, we help brands extend product lifecycles with sustainability in mind.So if you’re ready to roll out the red carpet for our clients — and for each other — we’ve got a spot for you.Behind the scenes is where the real excitement begins. Ready to join us?Your roleAs an AI Developer, you contribute to the development, implementation and continuous improvement of AI-driven solutions, intelligent agents and machine learning applications. You translate business challenges into scalable AI solutions while working closely with business stakeholders, IT teams, Data Engineers and external partners.You play a key role in delivering innovative AI capabilities while ensuring alignment with governance, data quality standards and business objectives.Your responsibilitiesAI Solution Development (35%)Design and develop AI/ML and GenAI solutions based on prioritized business use casesBuild scalable AI pipelines leveraging Snowflake and integrated toolsDevelop, test, and deploy models (e.g. forecasting, classification, optimization, LLM-based applications)Translate prototypes or PoCs into production-ready solutionsIntegrate AI capabilities into BI solutions, workflows, or applicationsMaintain and improve existing AI solutionsUse Case Implementation & Innovation (20%)Collaborate with business stakeholders to identify and refine AI use cases (e.g. during AI bootcamps)Translate business questions into technical AI solutionsPerform feasibility assessments and validate potential business valueContribute to shaping and prioritizing the AI roadmapPrototype innovative AI solutions and experiment with new technologiesData & Platform Integration (15%)Collaborate with Data Engineers to consume and use validated data products delivered via SnowflakeDesign and implement feature engineering and data preparation logic for AI use casesLeverage and contribute to the semantic layer (business definitions, metrics, relationships) to ensure AI models use consistent and business-aligned dataAlign AI solutions with existing data models and semantic definitions to avoid duplication or inconsistenciesEnsure efficient integration of AI models into the data platform and downstream applicationsOptimize performance, scalability, and cost-efficiency of AI solutions within the Snowflake environmentImplement logging monitoring and data traceability for AI pipelinesAI Data Quality & Grounding (15%)Ensure high-quality and relevant data is used as input for AI models and agentsDesign and implement data filtering, validation, and enrichment logic to reduce noise and inconsistenciesLeverage the semantic layer to ensure consistent business definitions in AI outputsDesign context-building mechanisms (e.g. retrieval, context windows, embeddings) to ground AI models in trusted dataImplement guardrails to ensure models only respond based on available data and avoid hallucinationsValidate AI outputs against known business logic, metrics, or datasetsCollaborate with Data Engineers to raise and resolve structural data quality issuesGovernance, Security & Compliance (10%)Ensure AI solutions comply with internal governance and data protection policiesParticipate in AI risk assessments and documentation processesFollow AI tool registration and approval processesDocument models, assumptions, and limitationsApply responsible AI practices (bias awareness, explainability, traceability)Collaboration & Delivery (5%)Participate actively in Scrum ceremonies (daily stand-ups, sprint planning, retrospectives)Collaborate with internal teams (BI, IT, Business stakeholders)Work with external partners to co-develop AI solutionsEnsure knowledge transfer from partners to internal teamsSupport deployment, monitoring, and continuous improvement of solutionsCommunicate progress, risks, and results clearly to stakeholdersYour profileTechnical SkillsStrong programming skills in Python (AI/ML, APIs, data processing)Solid experience with SQL and working in Snowflake (or similar cloud data platforms)Understanding of data modeling concepts and ability to work with structured data environmentsExperience with machine learning techniques (regression, classification, clustering, etc.)Experience with Generative AI / LLMs and agent-based solutionsKnowledge ofPrompt engineeringRetrieval-Augmented Generation (RAG)Embeddings and vector searchExperience integrating AI services or APIs (e.g. OpenAI, Azure AI, etc.)Understanding of AI limitations, including hallucination risks and mitigation techniquesExperience working with data pipelines and data products (as consumer, not owner)Ability to design feature engineering and data preparation logicUnderstanding of semantic layer concepts and business metrics definitionsAwareness of performance optimization and cost control in cloud environmentsSoft SkillsStrong analytical and problem-solving mindsetAbility to translate business problems into technical AI solutionsFocus on delivering value, not just building modelsHigh attention to data quality, reliability, and correctnessPassion for innovation and continuous learning in AIStrong collaboration skills in cross-functional teamsAbility to work effectively in an Agile / Scrum environmentComfortable working in a hybrid setup (internal + external partners)Proactive and ownership-driven mindsetAbility to manage ambiguity and evolving requirementsAbility to explain complex AI concepts in a clear and business-friendly wayStrong communication towards: Business stakeholders (translate needs into solutions) and Technical teams (align with Data Engineers / IT)Ability toDocument AI solutions and decisions clearlyPresent results and insights in an understandable wayComfortable challenging requirements when needed (critical thinking)Experience with Snowflake AI capabilities (e.g. Cortex, Snowpark,…)MLOps / model lifecycle managementNice to haveExperience working in an Agile/Scrum environment (Scrum methodology can be learned)Ability to collaborate with external partners / vendorsAwareness of AI governance, security, and data privacy (GDPR)Experience in Logistics / supply chain / operational environmentsBuilding AI agents in enterprise environmentsWorking in governed data environments (enterprise BI setups)What we offerA role with direct impact on business developmentExposure to international clients, carriers and internal stakeholdersA dynamic environment where requests are varied and often cross-functionalRoom to improve processes, templates, data quality and ways of workingGuided freedom to take initiative and grow your expertiseA collaborative team environment with short communication linesHybrid working possibilities, depending on location and business needsAt Bleckmann, we are guided by our values: We take a parachute and jump (Entrepreneurship), we unpack our knowledge (Expertise), we raise the bar with every box (Excellence), and we spark energy that connects (Engagement).