You will join the KPMG Digital Business Technology, where you will design, implement, and ensure the operational quality for our AI technologies and Cloud System Integrations. As a technical subject matter expert, you will lead our move to cloud and deliver cloud-first AI solutions.

• Design cloud and AI-driven solutions that deliver measurable business impact, using Azure AI and other services and aligning with group-wide data governance, ethical standards, and risk controls.
• Architect secure and scalable system integration across systems and firms using Azure services (e.g., Logic Apps, API Management), ensuring interoperability and long term maintainability.
• Enable cross-company platform adoption by defining reusable patterns, onboarding frameworks, and multi-tenant architectures that accelerate integration and AI usage.
• Proactively manage risk and technical debt by embedding architectural guardrails, conducting design reviews, and ensuring solutions remain compliant, cost-effective, and adaptable.
• Support developers in delivery by providing clear documentation, reusable components, mentoring, and hands-on guidance to accelerate solution development and reduce friction.
• Drive innovation and future readiness by evaluating emerging Azure and AI technologies, running PoCs, aand recommending strategic adoption paths for the group.

• Bachelor's or master's degree in computer science, engineering, data science or related field
• Minimum of 5+ years' experience in IT Architecture roles with strong focus on azure cloud integration stack, data, machine learning, business process digitization and operational qualities
• Proven experience in an Azure Integration and AI Solution Architect or similar role designing and implementing modern architectures and enterprise integration solutions using domain driven design, APIs, workflows and microservices styles in context of a platform centric ecosystem and SaaS solutions.
• Proficiency in platform (Azure/M365/Service Now good to have) programming languages such as Python, R, or Java, as well as familiarity with AI frameworks (e.g., TensorFlow, PyTorch).
• Experience in Agile, Lean and MLOps and DevOps based delivery models. Ability to adopt Product oriented mindset in context of regulated enterprise context
• Excellent communication skills with the ability to convey technical concepts to diverse audiences, including business and technical stakeholders at all levels.
• Solid spoken and written in English and German (is a plus)