Senior Applied AI Engineer

Celonis Celonis · Data AI · New York, NY · Value Engineering

This role focuses on applying AI and LLM capabilities within an enterprise SaaS context, specifically using Celonis' Process Intelligence platform to help customers deploy intelligent, autonomous agents. The role involves both pre- and post-sales activities, understanding customer AI strategies, and translating requirements into solutions that leverage LLMs, RAG, and agentic systems. It requires strong technical skills in data analysis, LLMs, and ideally Python/ML libraries, with an emphasis on driving customer value and adoption.

What you'd actually do

  1. Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the pre-sales expansion cycles and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully met.
  2. Owns driving enterprise-wide ROI and adoption programs. Increasingly accelerates customer autonomy with improved cadences and executive sponsorship through QBRs, strategic roadmaps, and enterprise-wide value opportunities. Enables cross-functional alignment and establishes repeatable frameworks for customers to independently track, realize, and expand on business value.
  3. Understand your customers' AI strategies and specific challenges. As a Celonis product expert, find the best problem-solution fit and translate customer requirements into innovative solutions that deliver measurable impact.

Skills

Required

  • 4+ years of experience in pre-sales, customer success, and/or consulting functions
  • Microsoft or competitor equivalent (e.g., AWS) certification in relevant technologies (e.g. Azure, Data Engineering..etc)
  • Knowledge of Data Connections, Data Objects, Data Validation and Data Analysis
  • Knowledge and use of LLM’s, across Microsoft or competitor equivalent (e.g. Claude, Copilot…etc)
  • Understanding of basic prompting and data constructs within a prompt
  • Value driven selling through expertise in identifying and prioritising use cases, implementing improvement measures and becoming a change agent for the customer by establishing an operating model and training users for the customer to realize value and renew/expand their subscription with Celonis
  • Plan and manage project scope, expectations and timelines
  • Manage multiple projects across your aligned accounts that will be at different parts of the value journey
  • Leverage partners from the Celonis Ecosystem wherever possible
  • Strong presentation skills to both internal and external stakeholders, whether leading technical whiteboarding sessions or formal readouts and demos
  • Bachelor’s Degree required; Focus in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred

Nice to have

  • 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
  • Good knowledge of Python and common ML libraries (such as LangChain, pandas, sklearn, PyTorch) as well as data engineering tools and technologies
  • Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.

What the JD emphasized

  • 4+ years of experience in pre-sales, customer success, and/or consulting functions
  • Strong Technical Skills
  • Value driven selling
  • Project Management
  • Strong presentation skills
  • Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.

Other signals

  • Deploying intelligent, autonomous agents
  • Using the Celonis Process Intelligence platform to feed critical operational context to AI and LLM tools
  • Understanding your customers' AI strategies and specific challenges
  • Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering