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Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jul 1, 2026. Henkel scores A on the Alion truth index.

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Henkel is a German multinational chemical and consumer goods company headquartered in Düsseldorf, organised into two business areas, Adhesive Technologies and Consumer Brands, with brands such as Loctite, Persil and Schwarzkopf. Founded in 1876 and listed in the DAX, it operates worldwide, with its North American headquarters in Rocky Hill, Connecticut, and large teams in Stamford, Boulogne-Billancourt, Shanghai, Brussels and Bratislava. Its vacancies include field sales and sector managers, production planners, quality engineers, engineering project managers, R&D and packaging interns, enterprise architects, logistics managers and legal counsel.

About this Position At Henkel, you can build on a strong legacy and leading positions in both industrial and consumer businesses to reimagine and improve life every day. If you love challenging the status quo, join our community of 50,000 pioneers around the globe. The teams in our corporate functions enable the best in our dynamic businesses and in our people to maximize our company’s potential. With our leading brands, our cutting-edge technologies and our disruptive solutions, you will have countless opportunities to explore new paths and develop your skills. Grow within our future-led businesses, our diverse and vibrant culture and find a place where you simply belong. All to leave your mark for more sustainable growth. What you´ll do Build agentic LLM applications (tool-calling, routing, multi-step orchestration) and RAG pipelines over enterprise documents and data. Define evaluation criteria (accuracy, groundedness, cost, latency) before building AI features and iterate against them. Integrate AI into business interfaces (Teams/chat/voice) and enterprise data platforms (SQL warehouse, NL-to-SQL, BI). Develop scalable AI pipelines and integrate models into enterprise systems. Evaluate AI use cases, model performance, accuracy, and business impact. Collaborate with business, data, and technology teams to identify AI opportunities. Implement responsible AI, governance, security, and monitoring practices. Optimize AI solutions for scalability, reliability, and operational efficiency. Stay updated on emerging AI technologies and industry trends. Works closely with:

  • Business stakeholders
  • Data analytics teams
  • Enterprise architecture
  • Digital transformation teams
  • IT security
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