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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.
Who you are - 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. Skills and experience We look for experience or strong potential in the following areas. - 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. 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.
At Siemens Software, flexibility is how we work—hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You ll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader.
We re committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow! Our Benefits & Rewards The total cash compensation range for this position is €85,100 to €215,700 with 30% of this being comprised of an annual incentive target (100% achievement).
The actual compensation offered is based on the successful candidate s job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: Our Commitment to Equity and Inclusion in our Diverse Global Workforce We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences.
We welcome you to bring your authentic self and transform the everyday with us.
Bring Intelligence Center X to life for leading companies, through business-relevant enterprise agentic AI use cases. 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
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Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.