AI Engineer
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on May 10, 2026. Henkel scores A on the Alion truth index.
About this Position The AI Engineer focuses primarily on the development of GenAI Solutions and is involved in Data Science Projects. They design, develop, and deploy advanced AI models that leverage generative techniques for text, image, audio, and multimodal applications. They have a broad technical knowledge with Microsoft Azure and OpenAI technologies that can help them develop solutions that meet business requirements.
They exchange with different stakeholders to share advice knowledge. They help evaluate new technologies in the area of GenAI, and they support to govern the environment. What you´ll do Design and implement generative AI models using frameworks like PyTorch or TensorFlow.
Fine-tune pre-trained LLMs (e.g., GPT, LLaMA) and diffusion models for domain-specific tasks. Develop effective prompts and strategies for improving model outputs. Experiment with reinforcement learning from human feedback (RLHF) and other optimization techniques.
Manage business requests for new solutions. Work closely with the business analyst to reach optimum solution for the business. Work Closely with Data Engineers DevOps Engineers to ensure scalable data pipelines deployment.
Stay updated with the latest advancements in generative AI, LLMs, and multimodal models. Evaluate new technologies that are being published by Microsoft and OpenAI. Maintain and enforce rules and standards and foster guiding principles.
Run the quality gate to review and check development before final deployment. Regular review and maintenance of services and site catalogs incl. channel integration and more. Identify the best technology to be used for each use case.