Your mission
We are looking for an experienced and strategic Chief Architect to drive the technology vision and architecture function of our 600-person strong software vendor, including a dedicated engineering team of ~200 people. As The European Choice in Service Management, we help our customers to digitalize and automate their work. We are evolving our SaaS offering towards modern, AI-native and cost-effective cloud architecture based on a state-of-the-art Tech Stack.
The Chief Architect will play a crucial role in leading that transformation, including transforming the architecture function following a merger and a shift in strategy. As we transition to cloud architecture following our 'cloud your way' strategy, the Chief Architect will play a crucial role in designing solutions that leverage PaaS but at the same time provide deployment flexibility. The design needs to include the creation of abstraction layers that shield applications from cloud-specific dependencies, optimizing portability and reliability by establishing clear boundaries between standardized components and customizable elements. A key objective is to develop and execute an architectural approach that allows for accelerating innovation in the current generation of products while at the same time evolving them towards a future architecture.
Matrix42 is known for delivering innovation in the market and over the last quarters we have released multiple AI-enabled products that deliver customer productivity with a enhanced conversational user interface.
Key Responsibilities
The Chief Architect will play a crucial role in leading that transformation, including transforming the architecture function following a merger and a shift in strategy. As we transition to cloud architecture following our 'cloud your way' strategy, the Chief Architect will play a crucial role in designing solutions that leverage PaaS but at the same time provide deployment flexibility. The design needs to include the creation of abstraction layers that shield applications from cloud-specific dependencies, optimizing portability and reliability by establishing clear boundaries between standardized components and customizable elements. A key objective is to develop and execute an architectural approach that allows for accelerating innovation in the current generation of products while at the same time evolving them towards a future architecture.
Matrix42 is known for delivering innovation in the market and over the last quarters we have released multiple AI-enabled products that deliver customer productivity with a enhanced conversational user interface.
Key Responsibilities
- Define and execute the technology and AI strategy in close collaboration with the CTO.
- Lead a highly skilled team of Architects, AI/ML Engineers, and SREs, fostering innovation and technical excellence.
- Drive the modernization of our existing SaaS platform, ensuring scalability, performance, security, and cost-efficiency.
- Containerization & orchestration – Lead cloud transformation initiatives leveraging Kubernetes, Docker, and container orchestration.
- Align the target architecture and AI initiatives across the product portfolio to maximize customer and business value.
- Design and integrate AI-powered capabilities (e.g., predictive analytics, intelligent automation, NLP-based virtual assistants) into the product suite.
- Design and prototype flexible architecture patterns that support deployment across multiple cloud providers (Azure) and on-premises environments to enable our 'cloud your way' strategy.\ Design flexible architecture patterns that support deployment across multiple cloud providers (Azure or comparable AWS/GCP) and on-premises environments to enable our 'cloud your way' strategy.
- drive the use of standardized platform components that abstract cloud-specific dependencies while leveraging PaaS where appropriate.
- Implement FinOps practices to optimize cloud spend while maintaining performance and reliability.
- Ensure comprehensive architecture documentation, prioritizing key optimizations based on business needs.
- Together with the CTO and the AI/ML team, the AI Governance Framework will drive our overall AI strategy taking into consideration the use of customer data for ML training purposes.
- Establish a metric-driven governance framework to measure architectural effectiveness and AI-driven solutions.
- Conduct technical due diligence (Tech DD) for potential acquisitions (M&A).
- Coach and enable engineering teams, ensuring architectural practices and responsible AI principles are embedded in development processes.
- Lead internal AI and architecture communities, collaborating closely with C-level executives, Engineering, Cloud Operations, and other key stakeholders.