# Senior Applied AI Solutions Consultant
As a Senior Applied AI Solutions Consultant (Internal Title: Senior Applied AI Engineer) at Celonis, you will work directly with strategic customers to understand their objectives and identify high-impact opportunities for AI, turning them into measurable business value. You will build Celonis solutions using the Process Intelligence (PI) platform in combination with leading AI and ML technology partners such as Microsoft, OpenAI, and Databricks.
## Key Responsibilities
- Identify high-impact AI opportunities by working closely with enterprise customers to understand their strategic priorities and operational challenges
- Design AI-powered solutions by translating complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies
- Prototype and demonstrate value by rapidly building prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders
- Lead AI innovation with customers through facilitating workshops, hackathons, and innovation sessions
- Drive adoption and business impact by partnering with customer teams to ensure successful implementation and realization of measurable value from AI deployments
- Develop domain expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization
## Required Qualifications
- 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
- Ability to translate business challenges into technical solutions
- Strong communication skills for complex technical concepts to business and executive stakeholders
- Good understanding of business processes across sectors such as Supply Chain or Finance
- Strong presentation skills to internal and external stakeholders including executives
- Experience prototyping solutions with Python and modern AI frameworks
- Familiarity with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
- Bachelor's Degree required
## Nice to Have
- Masters Degree in computer science, engineering, mathematics or related fields
- 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