Procurement - AI lead

Key Responsibilities

• Business & Requirements Analysis
• Actively participate to business process optimization workshops
• Collaborate with business stakeholders to identify challenges and opportunities where AI can add value.
• Translate business goals into technical requirements for AI solutions.
• Identify use cases where AI adds real value, prioritizing ROI and feasibility.
• Solution Design
• Design end-to-end AI solutions, covering:
  • Data ingestion and processing
  • Model training and evaluation
  • Deployment, monitoring, and scaling
• Ensure the design is scalable, maintainable, and secure.
• Model & Technology Selection
• Evaluate and recommend GenAI models, frameworks, and AI services.
• Decide between custom development and external tools
• Collaboration & Cross-Functional Leadership
• Work closely with:
  • Data Scientists — to ensure models meet business objectives
  • Software Engineers / Developers — for integration into applications
  • AI Technical architects
• Act as a bridge between business, internal and external consulting teams and our implementation partners
• Governance, Compliance & Risk
• Ensure AI solutions follow ethical guidelines, avoid bias, and comply with regulations (GDPR, HIPAA, AI Act, etc.).
• Ensure all AI solutions adhere to internal governance policies and procedures.
• Prototyping & Proof-of-Concepts
• Build or oversee prototypes / PoCs to validate technical feasibility and business impact.
• Assess performance, accuracy, and latency of AI models in the target environment.
• Documentation & Communication
• Produce architecture diagrams, solution specifications, and technical documentation.
• Present AI solution designs and clearly explain technical trade-offs to stakeholders and leadership.

What We’re Looking For

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.
• 4+ years of hands-on experience in AI Solutions in procurement domain.
• A very broad experience in different types of AI solutions: different technology stacks, different tooling, in-house and SaaS applications, … Ability to evaluate what works and what doesn’t, what is mature and what isn’t.
• Proven experience deploying AI solutions in Microsoft Azure and SAP technologies
• Familiarity with LLMs and generative AI frameworks
• Knowledge of model monitoring, retraining, and explainability techniques.
• Excellent communication, collaboration, and stakeholder management skills.
• English: Advanced (written and spoken).
• Knowledge about Finance business processes
• Knowledge about Purchasing business processes is a plus