Applied AI Engineer (Value Engineering)

We're Celonis, the global leader in Process Intelligence technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing AI, data and intelligence at the core of business processes - and for that, we need your help. Care to join us? The Team: The position of Value Engineer is a trusted advisor helping customers achieve their strategic goals and realise significant value using the Celonis Process Intelligence Platform. A Value Engineer has full responsibility for the end-to-end value journey of our customers – landing, expanding, adopting and renewing. Responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, building specific Celonis business cases and demos, running value workshops, and engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements. The Role: As an Applied AI Engineer you are pushing the envelope in solving business-critical problems for our customers. 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. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers. The work you’ll do: 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 that move the needle Hackathons Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. 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. Ensure Successful Project Outcome: Applied AI Engineers stay involved with projects until agreed value adoption thresholds are reached Specialize in Domains or Industries: To scale knowledge across the organization Applied AI Engineers specialize in domains (e.g. supply chain) and industries The qualifications you need: 3+ 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 pre ... (truncated, view full listing at source)