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Job Description
The Applied AI Solution Engineer at Celonis is responsible for developing and demonstrating AI-driven solutions for strategic customers, leveraging process intelligence and cutting-edge AI technologies to solve business-critical problems, ensure successful project outcomes, and drive ROI through innovative prototypes and implementations.
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, integration, and compliance.
- Ensure successful project outcomes by maintaining involvement until value adoption thresholds are met.
- Specialize in specific domains or industries to scale knowledge and solutions across the organization.
Requirements
- 3-5 years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI TCO business cases, and prototyping of machine learning and generative AI solutions.
- Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are 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 ML 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 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
benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities
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