Apply Now
Application opens on company website
Job Description
The Senior AI Engineer at Celonis will focus on fine-tuning and optimizing large-scale AI models for enterprise applications, working with generative AI and multi-agent systems to enhance automation and decision-making in business processes.
Key Responsibilities
- Fine-tune and optimize large language models and generative AI models for enterprise applications.
- Develop and refine AI model pipelines, focusing on retrieval-augmented generation, embedding techniques, and prompt optimization.
- Research and apply advanced AI methodologies for business process enhancements.
- Collaborate with data engineers to integrate AI-powered automation with enterprise applications.
- Enhance AI models by incorporating retrieval-based augmentation and adaptive learning techniques.
- Develop and optimize prompt engineering techniques for contextual enterprise use cases.
- Ensure scalability, robustness, and interpretability of AI solutions for real-world applications.
- Maintain data quality, integrity, and security while enabling AI-driven insights.
- Continuously explore and prototype emerging AI technologies for Celonis Garage initiatives.
Requirements
- Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field.
- 5 years of experience in artificial intelligence, deep learning, or cognitive computing.
- Strong expertise in Python and AI/ML frameworks such as TensorFlow and PyTorch.
- Hands-on experience in fine-tuning large language models (LLMs) such as OpenAI GPT, Llama, Mistral, Claude, and generative AI models.
- Experience with retrieval-augmented generation (RAG), embeddings, and vector databases.
- Deep understanding of AI reasoning, knowledge representation, and explainable AI techniques.
- Proficiency in advanced prompt engineering techniques to optimize AI model responses and contextual understanding.
- Familiarity with reinforcement learning, decision-making models, and multi-agent AI systems.
- Hands-on experience with cloud-based AI services such as AWS, Azure, GCP, and distributed AI architectures.
- Proficiency in integrating AI with enterprise data sources such as SAP, Salesforce, and ServiceNow.
- Strong understanding of AI safety, ethical AI, and responsible AI deployment practices.
- Familiarity with data engineering best practices, including data pipelines, ETL processes, and stream processing frameworks such as Kafka, Spark, and Flink.
Benefits & Perks
Great compensation and benefits packages
Equity restricted stock units
Life insurance
Time off
Generous leave for new parents from day one
Subsidized gym membership
Access to counseling
Virtual events on well-being topics
Ready to Apply?
Join Celonis and make an impact
Stay Updated on Sustainability Jobs
Get the latest renewable energy jobs and career tips delivered to your inbox.
Job Alerts
Get notified about new sustainability jobs
