Henkel is looking to drive AI/GenAI initiatives to shape the future through innovation, sustainability, and collaboration, ensuring alignment with the company's overall digital strategy and delivering tangible business outcomes.
Requirements
- 5+ years in AI/ML roles with demonstrated leadership experience
- Strong knowledge of AI/GenAI market trends, industry and the US market
- Hands-on experience with AI/ML lifecycle including model development, MLOps, and deployment
- Proficient with modern GenAI tools (e.g., OpenAI APIs, Microsoft Co-pilot, Hugging Face, LangChain, Retrieval Augmented Generation)
- Strong data engineering and Python skills
- Familiarity with Cloud platforms like Azure and GCP
- Experience working with APIs and plugins
Responsibilities
- Serve as the technical lead for AI/GenAI initiatives, ensuring alignment with Henkel’s overall digital strategy
- Drive AI projects with tangible business outcomes while maintaining a focus on compliance, ethics, and responsible AI
- Define and evolve the Americas AI roadmap in alignment with overall business priorities and local market needs
- Partner with business use case lead and digital teams to design, develop, and deliver end-to-end AI solutions that drive measurable value
- Evaluate, select, and fine-tune advanced AI/GenAI models (e.g., LLMs, CV models) to meet Henkel’s business needs
- Prepare and preprocess Henkel-specific datasets to enable high-quality, responsible model training
- Design, implement, and optimize algorithms tailored to pilot use cases, with a focus on scalability and performance
Other
- Serve as the technical lead for AI/GenAI initiatives, ensuring alignment with Henkel’s overall digital strategy
- Provide strategic consulting to business and digital teams on scalable, efficient, and responsible AI adoption
- Champion AI talent development through upskilling, mentoring, and knowledge-sharing across business and digital teams
- Act as a thought leader and change agent, promoting a culture of innovation and cross-functional collaboration.
- Knowledge of legal, ethical, and regulatory considerations for AI
