Generative AI Engineer

Role: GenAI EngineerLocation: Utrecht, NetherlandsContract Start Date: 08 July 2026Contract End Date: 30 June 2027About the RoleWithin bank’s Conversational AI & CRM department, the team develops and enhances all conversational channels, including GenAI chatbots, voicebots, messaging platforms, telephony, and video services.As a GenAI Engineer, you will play a critical role in shaping the next generation of customer-facing GenAI experiences. You will combine deep technical expertise, architectural thinking, and leadership capabilities to guide the development of enterprise-grade AI assistants while ensuring security, governance, scalability, and operational excellence.Provide technical leadership for GenAI use cases, including:GroundingOrchestrationSafety configurationsPrompt design patternsDrive best practices for:Prompt engineeringPrompting techniquesArchitecture patternsIntegration patternsSolution designRetrieval-Augmented Generation (RAG) systemsMentor and guide Agent Makers and support complex implementations.Define and implement ALM strategies for Genesys AI Studio and Rabobank AI Assistants.Lead AI governance and testing frameworks, including:Regression testingLLM-as-a-JudgeEnd-to-end testingCollaborate closely with dependent teams on architecture, requirements, and integrations.Participate in stakeholder discussions and translate technical capabilities into business value propositions.Technology StackPlatformsGenesys AI StudioAzure FunctionsAI & OrchestrationGenerative AIPrompt engineeringPrompt chainingAgent-based automationIntegrationREST APIsEvent-driven integrationsLegacy system integrationsProgrammingPythonCloud & DevOpsMicrosoft AzureAzure DevOps PipelinesMonitoring & AnalyticsDatabricksPower BINice-to-Have SkillsMicrosoft Copilot StudioMicrosoft Power PlatformGenesys Cloud APIsJavaScript/TypeScript (Node.js)C#Virtual NetworksPrivate EndpointsFirewallsIdentity & Access Management (IAM)API SecuritySecrets ManagementCandidate ProfileHBO or University degree.Minimum 6 years of experience in Data Engineering, Data Science, or Software Engineering.Minimum 2 years of hands-on experience in Generative AI.Proven experience building or integrating conversational AI or agent-based automation solutions.Hands-on experience building AI assistants, including:Generative orchestrationFunction callingPrompt engineeringGuardrailsAPI integrationsStrong understanding of:AI governanceRegression testingLLM-as-a-Judge frameworksEnd-to-end testingAbility to coach and mentor peers.Strong stakeholder management and communication skills.Agile mindset with a proactive and problem-solving attitude.Passion for leveraging GenAI to create intelligent, customer-centric solutions.Innovative mindset with a focus on creating value-driven solutions.