AI Architect (Enterprise AI)
We are looking for an experienced AI Architect to join a forward-thinking global digital organization, reporting directly to senior leadership within Digital Futures.In this role, you will define and drive the enterprise AI strategy across complex data ecosystems and platforms such as SAP, Salesforce, Microsoft 365 Copilot, and internal systems. You will work closely with global business and technology teams to identify high-impact AI use cases, architect intelligent solutions, and lead enterprise-wide adoption.This is a high-visibility role where you will shape next-generation AI capabilities and influence how AI transforms both customer experience and internal operations across a global organization. Key ResponsibilitiesEnterprise AI Strategy & ArchitectureDefine and implement enterprise-wide AI architecture aligned with business strategyIdentify and prioritize high-value AI use cases and develop business casesEstablish governance, standards, and best practices for AI adoptionMonitor market trends and emerging AI technologies to guide strategic directionAI Architecture LeadershipDesign scalable, secure, and compliant AI architecturesLead architecture decisions for complex AI systems and enterprise integrationsDefine principles for AI solution design, deployment, and lifecycle managementEnsure consistency, quality, and long-term sustainability of AI platformsAI Solutions & TransformationArchitect and guide development of AI agents, copilots, and intelligent workflowsEnable integration with enterprise platforms (SAP, Salesforce, Microsoft 365, etc.)Drive AI adoption across business units and coach cross-functional teamsEstablish KPIs/OKRs and measure performance of AI initiativesCore CompetenciesAI Strategy & Innovation – Defining roadmaps and identifying impactful use casesEnterprise AI Architecture – Agent frameworks, RAG pipelines, and integrationsAI Solution Delivery – End-to-end design and implementationLeadership & Influence – Driving adoption and aligning stakeholdersPerformance Management – Measuring impact and optimizing outcomes Skills & ExpertiseTechnicalAzure AI / OpenAI services (or equivalent cloud AI platforms)MLOps, model lifecycle management, and deploymentData engineering (ETL/ELT, distributed systems)API integrations and cloud-native architecturesSecure and responsible AI engineering practicesMulti-agent systems, orchestration frameworks, and GenAI solutionsArchitectureEnterprise architecture across data, application, and platform layersScalable and secure system designKnowledge of AI-enhanced architecture patternsKnowledge graphs, digital twins, and capability mappingGovernance & SecurityResponsible AI and compliance frameworksData governance, access control, and lineageAI safety, guardrails, and risk mitigationExperience RequiredProven experience designing large-scale distributed systemsStrong background in AI/ML solution architecture and deploymentExperience integrating AI into enterprise platforms like SAP, Salesforce, Microsoft 365Exposure to AI-driven modernization of legacy systemsExperience across enterprise architecture, cloud, APIs, and microservicesEducation: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field Why JoinCompetitive compensation and strong recognition cultureRemote-first / Work-from-anywhere flexibility (Europe)Opportunity to shape enterprise-level AI transformationWork with global teams on cutting-edge AI initiativesStrong focus on innovation, learning, and career growth