Senior Deployment Architect - AI

Celonis Celonis · Data AI · Zürich, Switzerland · Services

Senior Deployment Architect role at Celonis focused on implementing AI-augmented solutions for enterprise customers. The role involves directing AI agents (Apollo) to build data models, analyses, and configurations, while applying human judgment to validate outputs, adapt to customer context, and ensure business relevance. The emphasis is on leveraging AI for faster delivery and focusing on customer business understanding, solution design, and value quantification, rather than manual building.

What you'd actually do

  1. Direct AI deployment agents (Apollo) to build data models, process analyses, KPIs, and dashboards - writing clear specifications and validating agent outputs against business requirements
  2. Build and configure Celonis solutions across the platform: Process Intelligence Graph, data transformations, process analysis, operational solutions, and AI-powered insights
  3. Conduct business discovery workshops to translate customers’ strategic objectives into high-impact Celonis use cases
  4. Identify process inefficiencies and root causes using Celonis technology, always in close collaboration with the customer
  5. Validate AI-generated outputs for accuracy, business relevance, and alignment with customer context - applying domain knowledge where the AI cannot

Skills

Required

  • 4+ years in Management or IT consulting, data/solution consulting, or process improvement consulting
  • Platform expertise
  • AI-augmented workflows
  • Specification and context engineering skills
  • Customer business understanding
  • Solution design
  • Value quantification

Nice to have

  • Deep domain and industry expertise
  • Process domains (e.g., Supply Chain, Order to Cash, Procure to Pay, IT Service Management) or industry verticals

What the JD emphasized

  • AI agents as your primary instruments
  • directing agents
  • validating outputs
  • applying your own judgment
  • AI-augmented delivery professional
  • specify what needs to be built
  • direct AI agents to execute
  • validate the results
  • You generate value by understanding the customer’s business, translating their needs into technical specifications and solutions, and ensuring the platform delivers measurable impact.
  • You work with AI agents as your primary tools
  • direct, validate, and refine their output
  • strong specification and context engineering skills
  • translate a customer’s ambiguous business need into a precise instruction that an AI agent can execute correctly

Other signals

  • AI agents as primary tools
  • directing AI agents
  • validating AI outputs
  • customer business needs translation to AI specifications