Principal Engineer

Key Responsibilities

The role

ICX Principals are our most experienced ICX engineers. You lead the ideation and creation of our most strategic customer engagements — modelling complex domains as enterprise ontologies, designing agents and machine learning that reason over them and act on them, and delivering agentic applications that compel customers to invest in Intelligence Center X with Siemens.

This is a global role. You are based in the Americas, and you support opportunities worldwide within your areas of expertise. You:

Lead the most complex engagements — first-of-a-kind and hands-on, often combining ICX with Siemens' wider industrial software portfolio.

Set the standard — for how ICX is positioned and implemented, through reference architectures, patterns and value cases the field builds from.

Help shape the ICX roadmap — align roadmap and implementation, carry use cases and requirements back into product, and make what works repeatable. Identify and create opportunities for Siemens ICX R&D to work directly with lighthouse customers on new use cases.

Engage executives and strategic partners — build and defend the business case with senior customer stakeholders, mobilize Siemens leadership, and lead strategic partnerships with GSIs, ISVs and hyperscalers.

You work alongside sales leadership, our ICX Engineering teams, strategic partners and R&D.

An example engagement

A manufacturer's leadership wants to know whether agentic AI can improve a mission-critical process that stretches across their enterprise. The use case has first-of-a-kind requirements, and the answer depends on connecting engineering, manufacturing, supplier and service data owned by four different organizations. You frame the ambition with the executive sponsor, architect the enterprise ontology and the agentic approach, and guide the team that builds it. Along the way, you bring in R&D to explore how the product can improve based on the customer's use case and requirements.

Requirements

Who you are

You are an experienced presales architect who is hands-on with agentic AI and ontology. You design end-to-end solutions, and you still build.

You lead at the executive level. You build and defend business cases with executives, and you can mobilize a large organization to unblock what a deal team cannot.

You build for reuse. Your patterns outlive your engagements, and others build on them.

You are entrepreneurial. You take ownership, move at startup pace and find a route to an outcome before the problem is fully defined — with some of the largest companies in the world.

Skills and experience

We look for experience in the following areas.

Technical leadership on strategic enterprise accounts — leading complex, first-of-a-kind solutions with executive buyers.

Senior technical consulting — leading strategic agentic AI, data and analytics engagements for client executives at a consultancy or systems integrator.

Presales solution architecture — end-to-end design across enterprise ontology, agentic applications and machine learning.

Ecosystem positioning — showing where ICX is differentiated and where it complements the platforms a customer already has, so it fits their enterprise agentic AI architecture.

Data engineering and analytics — making sense of how a company's data is spread across its systems, bringing it together and modelling it.

Modern data and AI platforms — experience architecting or integrating solutions across modern cloud, data and AI ecosystems such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir or C3.ai.

Agentic AI — designing agents and AI solutions grounded in enterprise data: LLMs, retrieval, tool use, MCP.

Agentic development tools — Claude Code, Cursor, GitHub Copilot or similar, used to build quickly and well.

Enterprise ontology — modelling a real business domain as an ontology or knowledge graph and putting it to work in an enterprise.

Machine learning and data science — building models that solve real business problems, such as forecasting, anomaly detection or classification.

Industrial software — product lifecycle management, manufacturing operations or industrial IoT.

Industry depth — manufacturing, engineering, supply chain, pharma, aerospace or financial services.

Travel

Some travel is expected, up to 25%. Global travel is possible, though not required. For people who want to spend even more time on site with customers, there is room for it.

Why Join Us

Grow with ICX. Lead as Siemens brings Intelligence Center X to the market as a leading industrial AI platform.
Shape the global practice. The standards you set become how ICX is built and positioned in every zone.
The problem every enterprise is working on. Agentic AI grounded in a company's own data and context.
Direct influence on the product. You lead the engagements that help shape the ICX roadmap.