AI Engineering Director
7 days ago
We are seeking an experienced AI Engineering Director to join our team of Sourcing & Procurement AI, analytics and data management professionals.
In this role, you will have the opportunity to gain a comprehensive view of our businesses, sourcing & procurement, market dynamics and AI and analytics development across the organization. You will be able to showcase your knowledge in AI engineering, while also expanding your skill set and working with the latest tools and technologies.
Key Responsibilities:- Lead AI development initiatives: Take ownership of technical AI development within your area of responsibility, ensuring alignment with strategic goals and business priorities.
- Design, deliver and operate AI solutions: Architect, develop, and implement scalable, maintainable, and high-performance AI and analytics solutions that address prioritized business objectives.
- Manage the full lifecycle of AI implementation: Identify use cases, experiment, support in feasibility analyses and deploy models in collaboration with internal teams and third-party providers.
- Optimize Data Integration Pipelines: Develop, maintain, and optimize data pipelines and ETL processes to ensure seamless and efficient integration of data from diverse sources.
- Proactive and Accountable: You are self-directed, responsible and action-oriented, with a strong customer service mindset and a focus on delivering substantial results.
- You are fluent in English and comfortable working in a global, multicultural environment; proficiency in additional languages is beneficial.
- Educational Background: You hold a Master's Degree in Information Systems, Computer Science, Engineering, Economics, Management Science, or Mathematics, providing a solid foundation for technical AI development.
- Relevant Experience: You possess 3-5 years of experience in a similar role within a global organization.
- AI and Data Expertise: You have strong experience in designing and implementing AI use cases, machine learning, generative AI frameworks, Large Language Models (LLMs), and architectures, building data pipelines, and performing related data engineering activities; proficiency in programming languages like SQL and Python is essential.
- Cloud Proficiency: You bring deep knowledge of cloud platforms, tools, and architecture, including Snowflake, SQL Server, Microsoft Azure AI and Data services.
- API and Data Integration Skills: You are skilled in working with APIs and integrating data sources into advanced analytics solutions.
- Domain Knowledge: You are familiar with SAP ECC, S/4HANA, or the Ariba data model within the Source-to-Pay process area.
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