Intelligence Center X Engineering Manager - Americas

Mendix

28d•$197,300 - $394,600

About The Position

The ICX Engineering Manager for the Americas builds and leads Siemens’ Americas team of Intelligence Center X (ICX) Engineers, a presales forward-deployed engineering team. The team works with customers to develop business-relevant enterprise agentic AI use cases by modeling customer domains as enterprise ontologies, building machine-learning models and agents that reason over data, and delivering working agentic applications. The role is a formal people-management position and a player-coach role: the manager builds customer solutions, sets the team’s engineering standard, serves as a senior presence on key opportunities, recruits and develops engineers, and works with global ICX leaders to evolve customer-engagement practices across regions. The manager works alongside sales teams and strategic partners and reports to the Americas Pre-Sales Leader. Customer work can include connecting operational and quality data to investigate defects, building agentic assistants to support business decisions, and shaping future engagements with customer leadership. The role is expected to help ensure engagements succeed and that learning is shared across the team. Some travel is expected, up to 25%, with additional customer-site travel possible for those who want it. Intelligence Center X is Siemens’ industrial AI platform. It combines Siemens’ graph, ontology, machine-learning and agentic AI technology with industrial software foundations to connect enterprise and operational data through an enterprise ontology and enable AI to reason over that data and act on it. Customers include companies in automotive, aerospace and defense, semiconductors and electronics, industrial machinery, pharma and financial services.

Requirements

Experience leading customer-facing technical teams through formal management or team-lead roles, such as FDE, presales, services or other technical teams.
Hands-on experience with agentic AI and enterprise ontology; the manager is expected to continue building solutions.
Entrepreneurial approach, ownership, ability to move at startup pace and find routes to outcomes when problems are not fully defined.
Ability to think in terms of business value and credibility with customers and sales leadership.
Experience or strong potential in leading technical teams and customer-facing engagements.
Experience or strong potential in technical consulting leadership, including leading client engagements and delivery teams in agentic AI, data and analytics at a consultancy or systems integrator.
Ability to recruit, coach and develop engineers.
Ability to lead working sessions with technical and business stakeholders, including executives.
Experience or strong potential in data engineering and analytics, including understanding, integrating and modeling data distributed across company systems.
Experience or strong potential with modern data and AI platforms such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir or C3.ai.
Experience or strong potential designing agentic AI grounded in enterprise data, including LLMs, retrieval, tool use and MCP.
Experience or strong potential using agentic development tools such as Claude Code, Cursor, GitHub Copilot or similar.
Experience or strong potential modeling a business domain as an enterprise ontology or knowledge graph and applying it in an enterprise.
Experience or strong potential building machine-learning models for business problems such as forecasting, anomaly detection or classification.
Experience in industries such as manufacturing, engineering, supply chain, pharma, aerospace or financial services.

Nice To Haves

Experience with modern data and AI platforms such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir or C3.ai.
Experience with agentic development tools such as Claude Code, Cursor, GitHub Copilot or similar.
Experience in manufacturing, engineering, supply chain, pharma, aerospace or financial services.

Responsibilities

Build and lead the Americas team of ICX Engineers.
Personally build customer solutions and set the standard for how the team develops them.
Lead ideation and creation of customer engagements and working agentic AI applications grounded in enterprise ontologies.
Serve as a senior presence on key opportunities with customers and alongside sales leadership.
Recruit strong engineers and develop, coach and grow their careers.
Work with global ICX leaders to evolve how the practice engages with customers across regions.
Work alongside sales teams and strategic partners.
Help ensure customer engagements succeed and share learning across the team.
Shape future customer engagements with customer leadership.
Contribute customer-engagement insights that help shape the ICX product roadmap.