Senior/Lead Value Engineer (Public Sector & Defense)

Join Celonis as a Senior Applied AI Engineer, where you will work directly with strategic customers to identify high-impact AI opportunities and turn them into measurable business value. You will build solutions using the Celonis Process Intelligence platform and collaborate with leading AI and ML technology partners. This customer-facing role focuses on problem framing, solution design, and business impact, rather than pure software engineering. You will prototype AI solutions, demonstrate their value to executives, and ensure successful implementation and adoption.

• Identifying high-impact AI opportunities and translating complex business problems into scalable AI solution architectures.
• Rapidly building prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Partnering with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Have a good 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
• Have some experience prototyping solutions with Python and modern AI frameworks
• Demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos
• Have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• Can communicate complex technical concepts to business and executive stakeholders
• Are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• Hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have)
• Enjoy translating business challenges into technical solutions
• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations