Intelligence Center X Engineer - Americas
Mendix is hiring an Intelligence Center X Engineer - Americas. Level rates it ; you can apply on Mendix.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Claude, Copilot and Databricks among its tools and skills.
- Mendix has 47 other open roles on Level.
AI in this role
About Intelligence Center X
Intelligence Center X (ICX) is Siemens' industrial AI platform. ICX combines Siemens' own core graph, ontology, machine learning and agentic AI technology with our industrial software foundations to bring truly differentiated capabilities to market. It connects a company's enterprise and operational data into an enterprise ontology, and uses machine learning and agentic AI to reason over it and act on it.
Our customers are leaders in automotive, aerospace and defense, semiconductors and electronics, industrial machinery, pharma and financial services.
How we engage with customers
Beyond typical demos, we work forward-deployed with the customer — on relevant data, against their problem — and build a working agentic AI solution, grounded in an enterprise ontology. It is how we establish value with customers: where they see the use case come to life, and where we earn the right to move forward.
Key Responsibilities
The role
As an ICX Engineer, you lead the ideation and creation of these engagements. This is a presales FDE role: you take a business problem and a complex data landscape, model the domain as an enterprise ontology, build agents and machine learning that reason over it and act on it, and deliver a working agentic application with a business case compelling the customer to invest in Intelligence Center X with Siemens.
You work alongside sales teams and strategic partners, and report to the ICX Engineering Manager for the Americas.
An example engagement
An industrial manufacturer wants its engineers to answer in minutes a question that today takes weeks of chasing across teams: what does this change affect? The answer is spread across a dozen systems that each describe the same products, parts and suppliers differently. You connect them, model how they fit together as an enterprise ontology, build an agent that reasons over the result, and show the customer what it is worth with a compelling agentic user experience.
Requirements
- You are hands-on with agentic AI and ontology. You build working things, and agentic development tools are how you work. If some of this is new to you, you will learn fast.
- 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.
- You think in business value, and you want to be in the room with customers.
- Customer-facing technical communication — running working sessions with technical and business stakeholders, including when the solution is still taking shape.
- 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 working with platforms 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.
- FDE, presales or innovative professional services — experience on a team that builds with customers.
- Technical consulting — designing and building agentic AI, data and analytics solutions for clients at a consultancy or systems integrator.
- Experience in our industries — manufacturing, engineering, supply chain, pharma, aerospace or financial services.
Who you are
Skills and experience
We look for experience or strong potential in the following areas.
We hire across levels, from recent graduates to experienced data and AI professionals, with no minimum years of experience. What matters is evidence that you build, and the drive to do it with customers.
Travel
Some travel is expected, up to 25%. 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 our future. ICX Engineering is growing fast, and strong leaders get the opportunity to shape where it goes.
- The problem every enterprise is working on. Agentic AI grounded in a company's own data and context.
- A direct line to product. Your engagements help shape the ICX roadmap.
- A clear path to grow. ICX Engineers grow toward Principal or management roles.
Closing
Compensation and Benefits
The pay range for this position is 125,300–334,400 annually. The actual wage offered may be lower or higher within this range depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.
Siemens offers a comprehensive benefits package that includes health, dental, and vision insurance, a 401(k) plan with company match, paid time off, and professional development opportunities.
How we rate this
Intelligence Center X Engineer - Americas at Mendix rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used Claude hands-on?
- Walk me through how you've used Copilot in your day-to-day work.
- What are the limits of Databricks that you've run into, and how did you work around them?
- What's a project where you used Cursor hands-on?
- Walk me through how you've used Claude Code in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Claude, Copilot, Databricks, Cursor, and Claude Code. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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