Intelligence Center X Engineering Manager (Americas)

Join Siemens as the Intelligence Center X Engineering Manager for the Americas. In this role, you will lead a team of engineers to bring enterprise agentic AI use cases to life for leading companies. You will be hands-on in building customer solutions, shaping engagements, and evolving the global practice. This is a formal people-management role, and you will work alongside sales teams and strategic partners. Benefits include work from home opportunities, family leave, retirement savings, and generous paid time off.

Lead and manage the Americas team of ICX Engineers, overseeing the ideation and creation of enterprise agentic AI use cases.

Build customer solutions yourself, setting the bar for how the team builds them, and ensuring successful engagement with customers.

Recruit, develop, and grow the team, hiring strong engineers and coaching them to advance their careers.

Modern data and AI platforms — experience working with platforms such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir or

USD 197,300 - 394,600

About Mendix

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

Responsibilities

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

Requirements

• You think in business value, and you are credible with customers and sales leadership alike
• Agentic AI — designing agents and AI solutions grounded in enterprise data: LLMs, retrieval, tool use, MCP
• Senior customer presence — leading working sessions with technical and business stakeholders, including executives, on key opportunities
• Leading technical teams — formal management or team-lead roles for customer-facing FDE, presales, services or other technical teams
• Recruiting and developing engineers — hiring strong people, coaching them and growing their careers
• Data engineering and analytics — making sense of how a company's data is spread across its systems, bringing it together and modelling it
• Experience in our industries — manufacturing, engineering, supply chain, pharma, aerospace or financial services
• Agentic development tools — Claude Code, Cursor, GitHub Copilot or similar, used to build quickly and well
• Technical consulting leadership — leading client engagements and delivery teams in agentic AI, data and analytics at a consultancy or systems integrator
• Machine learning and data science — building models that solve real business problems, such as forecasting, anomaly detection or classification