Job Description
An Applied AI Engineer at Celonis is responsible for developing innovative AI solutions for strategic customers by leveraging process intelligence and advanced AI/ML technologies, prototyping solutions, and ensuring successful deployment and adoption to drive business value.
Key Responsibilities
- Understand customer AI strategies and translate requirements into innovative AI solutions.
- Prototype AI solutions using cutting-edge technologies and demonstrate their value to stakeholders.
- Support customers in achieving ROI from AI deployments and enable business process transformation.
- Execute end-to-end Proof-of-Value projects, including architecture design and integration with enterprise data.
- Ensure successful project outcomes by maintaining involvement until value adoption thresholds are met.
- Specialize in specific domains or industries to scale AI knowledge across the organization.
Requirements
- Six (6) years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI TCO business cases, and prototyping machine learning and generative AI solutions.
- Understanding of generative AI techniques such as Retrieval-Augmented Generation (RAG), few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases like intelligent chatbots and automated text processors.
- Understanding of business processes across sectors such as Supply Chain or Finance with the ability to translate high-level business needs into specific AI use cases.
- Good knowledge of Python and common machine learning libraries such as LangChain, pandas, pydantic, sklearn, PyTorch, as well as data engineering tools and technologies.
- Strong presentation skills to both internal and external stakeholders, including executives, whether in whiteboarding sessions or formal readouts and demos.
- Bachelor’s Degree in computer science, engineering, mathematics, or related fields, or equivalent work experience.
- Experience in deploying and monitoring models at scale across major cloud platforms such as AWS Bedrock, Azure AI, or GCP Vertex.
Benefits & Perks
generous PTO
hybrid working options
company equity RSUs
comprehensive benefits
extensive parental leave
dedicated volunteer days
access to resources such as gym subsidies, counseling, and well-being programs
clear career paths
internal mobility
dedicated learning program
mentorship opportunities
international team collaboration
empowered environment with open culture and autonomous teams
Ready to Apply?
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