About the job
At Celonis, we are at the forefront of Process Intelligence technology and recognized as one of the fastest-growing SaaS companies globally. We see tremendous potential to enhance productivity by embedding AI, data, and intelligence into business processes. We invite you to join us on this exciting journey!
Role Overview
- As a Senior Applied AI Engineer, you will collaborate closely with our top-tier clients to comprehend their goals and challenges, pinpoint significant AI opportunities, and translate them into tangible business outcomes. You'll be developing Celonis solutions utilizing our premier Process Intelligence (PI) platform, integrated with leading AI and ML technology partners like Microsoft, OpenAI, and Databricks. Our PI platform provides operational context to AI, ensuring that it comprehends our clients’ businesses and empowers them to scale AI deployment efficiently, generating real ROI. You will create prototypes of these solutions, showcase their benefits to executives, and guarantee their successful implementation and adoption to expand Celonis' presence within these organizations.
This role emphasizes customer interaction, making it perfect for individuals who thrive in direct client engagements, transforming intricate business issues into actionable AI solutions. The focus is on problem framing, solution design, and business impact rather than purely technical software engineering. While prototyping is a part of your role, your primary aim will be to deliver substantial value to our customers.
Key Responsibilities:
- Identify High-Impact AI Opportunities: Collaborate with enterprise clients to grasp their strategic objectives and operational hurdles, uncovering areas where AI can yield measurable business benefits.
- Design AI-Powered Solutions: Convert complex business challenges into scalable AI solution architectures that integrate the Celonis Process Intelligence platform with cutting-edge AI technologies.
- Prototype & Demonstrate Value: Swiftly develop prototypes and proof-of-value solutions that exhibit concrete results to both business and technical stakeholders.
- Lead AI Innovation with Customers: Organize workshops, hackathons, and innovation sessions with clients to explore transformative AI applications in their operations.

