Applied AI Engineer

• Partner with product owners and finance experts to identify strong AI use cases in Accounts Receivable.
• Design and build predictive models, generative AI features, and multi-agent systems tailored to business problems.
• Develop LLM-based copilots and autonomous agents, including human-in-loop flows, security guardrails, and audit trails.
• Work closely with software engineers and data scientists to embed AI features into the product.
• Build and maintain secure, scalable MLOps pipelines for training, deployment, and monitoring.
• Continuously evaluate and improve model performance and user impact.
• Stay current with the latest advancements in LLMs, NLP, multi-agent frameworks, and applied AI engineering.
• Set up and tailor AI demos as needed for customers, stakeholders, and internal teams.
• Contribute to a culture of innovation, collaboration, and continuous learning.

Required Experience

AI/ML/LLM Experience

• 4+ years of AI/ML engineering experience.
• 3+ years of hands-on experience with LLM-based solutions.
• 1+ year of experience building agentic systems (production-ready, not POCs).

Multi-Agent & Autonomous Systems

• Strong understanding of multi-agent architectures, memory systems, tool-use, orchestration, routing, and safety guardrails.
• Experience building autonomous or semi-autonomous agents with governance, logging, and human-in-loop flows.

Technical Skills

• Strong programming skills in Python (preferred), R, or Java.
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Solid understanding of predictive modeling, NLP, ML algorithms, and statistics.
• Experience working in cloud environments (AWS/Azure/GCP) with model deployment and data pipelines.
• Knowledge of GitHub/GitLab, version control, and CI/CD practices.
• Basic understanding of web fundamentals (HTTP, JSON, authentication) and REST APIs to integrate AI/LLM solutions into the product.

General Skills

• Strong analytical and problem-solving skills.
• Ability to communicate complex concepts clearly to non-technical partners.
• Great collaboration and teamwork abilities.
• Curiosity and passion for innovation in AI and Finance.

What Celonis can offer you:

• Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
• Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
• Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
• Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
• Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
• Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
• Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
• Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
  • Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.