Senior Applied AI Solutions Consultant

Celonis Celonis · Data AI · Stockholm, Sweden · Value Engineering

Senior Applied AI Solutions Consultant at Celonis, a leader in Process Intelligence. This customer-facing role focuses on understanding customer objectives, identifying high-impact AI opportunities, and translating them into measurable business value using Celonis' PI platform and AI/ML partners like OpenAI and Databricks. Responsibilities include designing AI-powered solutions, prototyping, demonstrating value to executives, driving adoption, and developing domain expertise. The role emphasizes problem framing, solution design, and business impact over pure software engineering, with experience in Python and Generative AI architectures like RAG and agent-based systems being beneficial.

What you'd actually do

  1. Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
  2. Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
  3. Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
  4. Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
  5. Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.

Skills

Required

  • 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
  • translating business challenges into technical solutions
  • communicate complex technical concepts to business and executive stakeholders
  • understanding of business processes across sectors
  • presentation skills to both internal and external stakeholders
  • prototyping solutions with Python and modern AI frameworks
  • familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems

Nice to have

  • 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
  • Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience

What the JD emphasized

  • customer-facing
  • prototype AI solutions
  • deliver meaningful value for customers
  • enterprise customers
  • AI deployments and at scale

Other signals

  • customer-facing
  • prototype AI solutions
  • deliver meaningful value for customers
  • enterprise customers
  • AI deployments and at scale