Presales Solutions Architect - ICX Channel

Required

• A natural leader and coach: You lead by example, are highly collaborative, and are passionate about developing and elevating the technical capabilities within a diverse partner ecosystem.
• Hands-on technical expert: You possess deep, hands-on expertise in agentic AI and enterprise ontology, capable of building sophisticated solutions yourself to set a high technical standard for partners.
• Business-value oriented: You consistently think in terms of business value, and can credibly articulate complex technical solutions and their impact to technical and business stakeholders within partner organizations and their clients.
• Entrepreneurial and proactive: You take ownership, thrive at a startup pace, and consistently find clear routes to outcomes even when problems are not fully defined, especially when working with some of the world's largest companies and their partners.
• Experienced in channel or consulting leadership: You have a proven track record of leading client engagements and delivery teams, ideally with a significant focus on partner development, enablement, or management.
• We look for experience or strong potential in the following areas:
• Leading Technical Teams & Enablement: Proven experience in leading, coaching, mentoring, and enabling technical teams, ideally within a partner-facing or channel context.
• Agentic AI Expertise: Strong hands-on experience designing agents and AI solutions grounded in enterprise data, including LLMs, retrieval, tool use, and Multi-Concept Programming (MCP). Familiarity with agentic development tools such as Claude Code, Cursor, or GitHub Copilot is highly valued.
• Enterprise Ontology & Knowledge Graphs: Expertise in modelling real business domains as an ontology or knowledge graph and effectively putting it to work in an enterprise environment.
• Modern Data & AI Platforms: Experience working with leading platforms such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir, or C3.ai.
• Mendix & Low-Code: Experience with Mendix application development, architecture, or consulting, with the ability to demonstrate and integrate Mendix with AI services and enterprise processes.
• Data Engineering & Analytics: Proficiency in understanding how a company's data is spread across its systems, bringing it together, and modelling it effectively for AI applications.