Job Description
The Applied AI Engineer at Celonis is responsible for developing innovative AI solutions by leveraging Process Intelligence and cutting-edge AI technologies to solve business-critical problems, demonstrate value to clients, and drive AI adoption and ROI across various industries.
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 systems.
- 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 of 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
Restricted Stock Units (RSUs) and merit-based refresh grants
Unrivaled family support benefit with 24 weeks of fully paid parental leave for primary carers and 12 weeks for supporting carers
Unlimited PTO in applicable regions and generous PTO globally
Flexible hybrid work model
Access to a dedicated learning platform and mentorship programs
Subsidized Wellhub memberships and mental health counseling
Dedicated Wellness Weeks for work-life balance
Paid time off for community and environmental volunteer activities during Impact Days
Participation in Inclusion Think Tank and Inclusion Days
Being part of a mission-led organization focused on customer value, teamwork, ownership, and sustainability
Ready to Apply?
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