Senior Applied AI Engineer - Public Sector at Celonis

We're Celonis, the global leader in Process Intelligence technology and one of the world's fastest-growing SaaS firms.

Role Description

As a Senior Applied AI Engineer - Public Sector you are pushing the envelope in solving business-critical problems. You will be working with our most strategic customers understanding their objectives and key challenges, and building Celonis solutions using the world's leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks.

Key Responsibilities:

AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions

Hackathons & Prototyping: Think out of the box, leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems

Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform

Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.

Requirements:

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.

Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.

Excellent communication and presentation skills in English and German. The role requires a high level of fluency in German.

Nice to have:

Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.

Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.

Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)