SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 125,300 - 334,400 / annual
Intelligence Center X (ICX) is Siemens' industrial AI platform that combines graph technology, ontology, machine learning, and agentic AI to solve enterprise problems. As an ICX Engineer, you will lead the ideation and creation of forward-deployed customer engagements, taking business problems and complex data landscapes to build working agentic AI solutions grounded in enterprise ontologies.
In this presales field development engineer (FDE) role, you will work alongside sales teams and strategic partners to deliver end-to-end solutions. A typical engagement involves connecting disparate enterprise systems, modeling them as an enterprise ontology, building agents and ML models that reason over the data, and demonstrating compelling business value to customers in automotive, aerospace, defense, semiconductors, pharma, and financial services.
You will be hands-on with agentic AI development, customer-facing technical communication, data engineering, and modern data platforms. You'll run working sessions with technical and business stakeholders, design agents and AI solutions, and help shape the ICX product roadmap through your customer engagements. The role involves up to 25% travel, with flexibility for more time on-site with customers if desired.
ICX Engineering is growing rapidly, and strong performers have clear paths to Principal or management roles. You'll have direct influence on product direction and work with some of the world's largest companies.
REQUIREMENTS:
- Hands-on experience or strong potential with agentic AI and enterprise ontology/knowledge graphs
- Customer-facing technical communication skills; ability to run working sessions with technical and business stakeholders
- Data engineering and analytics experience; ability to model how enterprise data is spread across systems
- Experience with modern data and AI platforms (Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir, C3.ai, or similar)
- Agentic AI design experience: LLMs, retrieval, tool use, MCP
- Proficiency with agentic development tools (Claude Code, Cursor, GitHub Copilot, or similar)
- Machine learning and data science experience building models for real business problems (forecasting, anomaly detection, classification)
- Preferred: FDE, presales, or innovative professional services experience; technical consulting background; experience in manufacturing, engineering, supply chain, pharma, aerospace, or financial services
- No minimum years of experience required; hiring across levels from recent graduates to experienced professionals. Evidence of building and drive to work with customers are what matter.
