Associate (ai) Solution Consultant - Orbit Program (madrid-based)

Celonis Celonis · Data AI · Madrid, Spain · Value Engineering

Celonis is seeking an Associate AI Solution Consultant for their Orbit Program in Madrid. This role involves understanding customer AI strategies, prototyping solutions using AI and ML technologies (like OpenAI, Databricks) integrated with Celonis' Process Intelligence Platform, and demonstrating value to executives. The consultant will work on agentic process transformation, proof-of-value projects, and present business impact to senior leadership, with a focus on scaling AI deployments and enabling autonomous AI agents.

What you'd actually do

  1. 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
  2. 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
  3. 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
  4. Proof Projects: End-to-end execution of business-critical Proof-of-Value projects showcasing the value of Celonis Process Intelligence tailored to customers and align our solutions with their AI strategy.
  5. Business Impact Presentations: Articulate and quantify strategic business value for customers, delivering impactful presentations to senior executives to ensure successful value realization for customers.

Skills

Required

  • Degree in Engineering, Data Analytics/Science, Computer Science, Mathematics, or a related STEM field.
  • Extensive internship experience or 1-2 years of full-time work experience. Ideally at the intersection of business and technology.
  • Understanding of generative AI techniques like RAG, few shot learning, prompt/context 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 analytical and creative problem-solving skills, with the ability to apply technology to business challenges.
  • A customer-centric mindset with a focus on delivering value

Nice to have

  • SQL
  • PQL
  • Python

What the JD emphasized

  • AI strategy
  • AI and ML technology partners
  • industrialize AI
  • AI deployments at scale
  • autonomous AI agents
  • AI strategy

Other signals

  • industrialize AI
  • AI deployments at scale
  • autonomous AI agents
  • Process Intelligence Platform