ICX Engineer: Build Agentic AI for Industry

Siemens AG

Rotterdam

Hybrid

EUR 85,000 - 216,000

Full time

6 days ago
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Benefits offered by this job

Health and wellness benefits
Hybrid by default (flexible work)
Global mobility opportunities

Job summary

Siemens AG is hiring for an ICX Engineer to drive ideation and creation of enterprise ontology–based agentic AI engagements. You will build agents and ML that reason over enterprise data and deliver a compelling customer business case to invest in Intelligence Center X, collaborating with sales and partners and reporting to the ICX Engineering Manager for the Americas.

You will connect disparate data across systems, model it as an ontology, and demonstrate a working agentic application that

Qualifications

  • Customer-facing technical communication with stakeholders

Responsibilities

  • Lead ideation and creation of engagements for ICX
  • Model domain as enterprise ontology and build agents and ML to reason and act
  • Deliver working agentic application with business case for customer investment
  • Collaborate with sales teams and partners; report to ICX Engineering Manager for the Americas
  • Show customers value and ROI of agentic AI solutions
  • Travel up to 25% for customer engagements

Skills

Customer-facing tech comm
Data engineering & analytics
Modern data & AI platforms
Agentic AI
Agentic development tools
Enterprise ontology
Machine learning & data science
FDE/presales/consulting
Technical consulting
Industry experience

Tools

Databricks
Snowflake
Microsoft Fabric
Google Cloud
AWS data lakes
Palantir
C3.ai
Claude Code
Cursor
GitHub Copilot

Job description

Siemens AG is hiring for an ICX Engineer to drive ideation and creation of enterprise ontology–based agentic AI engagements. You will build agents and ML that reason over enterprise data and deliver a compelling customer business case to invest in Intelligence Center X, collaborating with sales and partners and reporting to the ICX Engineering Manager for the Americas.

You will connect disparate data across systems, model it as an ontology, and demonstrate a working agentic application that

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