We're looking for aSenior AI Architectto join our team in the Netherlands in a hybrid working mode. In this role, you will help clients design and scale production-grade AI platforms and solutions on Microsoft Azure. You will work at the intersection of enterprise architecture, cloud-native engineering, Git Hub-enabled software delivery and responsible AI adoption.This position focuses on shaping large-scale AI transformation programs that connect business outcomes with practical architecture design. You will engage in areas such as Azure AI platforms, copilots, RAG, agentic systems, governance, observability, evaluation, security and Responsible AI practices.Unlike roles centered on proofs of concept, this opportunity involves delivering enterprise-grade AI systems embedded into real workflows, including engineering productivity, knowledge retrieval, automation and AI-enabled delivery. The challenges go beyond basic API calls and span AI-native software engineering, Git Hub Copilot integration, secure architectures, Fin Ops and governance at scale.You will collaborate with architects, engineers, Microsoft/Git Hub specialists and client leadership teams to drive secure and governed AI adoption.ResponsibilitiesDefine target-state architectures for AI platforms, assistants, RAG systems, agents, AI gateways and AI-native engineering workflowsLead architecture discovery, maturity assessments, technical roadmaps, platform decisions and delivery governanceDesign Azure-first architectures using Microsoft Foundry, Azure Open AI, Azure AI Search, Azure API Management, AKS, Azure Functions, Application Insights, Azure Monitor, Key Vault, Microsoft Entra ID, Cosmos DB, Postgre SQL and Microsoft Fabric where applicableDesign AI-native engineering systems using Git Hub Copilot, Git Hub Enterprise, Git Hub Advanced Security, agent-ready repositories,



secure pull-request practices and AI-assisted delivery patternsDesign harnesses around AI systems, including agent instructions, tool contracts, MCP integrations, retrieval grounding, evaluation suites, telemetry, cost controls, policy controls and human approval gatesDefine governance and operational frameworks for Responsible AI, security, identity, Fin Ops and observabilityTranslate business outcomes into target architecture, executive narratives, platform decisions and delivery governance across client leadership, architecture, engineering and security teamsFacilitate workshops, hackathons and enablement sessions focused on AI adoption, Copilot integration and engineering excellenceConvert practical experience into reusable patterns, accelerators and architectural blueprintsMentor architects and engineers and contribute to presales and solution design initiativesRequirements10+ years in solution architecture, cloud platforms or platform engineeringStrong experience with enterprise AI, Gen AI, agentic systems, RAG and AI-native engineeringProficiency with Microsoft Azure and modern cloud-native architectureKnowledge of Git Hub workflows (CI/CD, Dev Ops, Ia C) and secure engineering practicesTrack record of moving AI initiatives beyond Po C to enterprise-grade production environmentsHands-on capability to validate prototypes, review code and guide engineering decisions Ability to explain how to make AI useful in production, not just impressive in a demoCapability to design platform architecture, governance models, adoption plans and AI delivery workflowsConfidence working across enterprise realities,



leveraging Azure and Git Hub pragmaticallyStrong communication skills with both executives and technical stakeholdersNice to haveExperience with Git Hub Copilot Enterprise adoption, AI-native SDLC transformation, Git Hub Actions and Git Hub Advanced SecurityFamiliarity with agent frameworks such as Semantic Kernel, Lang Chain, Lang Graph, Auto Gen, Llama Index, Crew AI or similarKnowledge of Microsoft 365 Copilot, Copilot Studio, Microsoft Graph, Teams, Share Point or Power Platform integrationUnderstanding of AI gateways, model routing, semantic caching, model abstractions, usage telemetry and AI Fin OpsBackground in enterprise infrastructure with Terraform/Ia C, Kubernetes/AKS, CI/CD and secure API gateway practicesAwareness of agent reliability and security techniques, including workflow state, recovery, tool-permission boundaries, evaluation gates, prompt-injection defense, audit trails, rollback mechanisms and human approval workflowsFamiliarity with compliance and governance standards such as GDPR, EU AI Act readiness or ISO/IEC 42001Experience in regulated industries such as finance, healthcare, energy, retail, manufacturing or public sectorKnowledge of other AI ecosystems, including AWS Bedrock, Google Vertex AI, Databricks, Snowflake, Anthropic, Open AI API or Hugging FaceWe offer26 paid holiday daysPension plan schemeDisability insurance (WGA Shortfall insurance)Long-term disability insurance (WIA Top up insurance)EPAM Employee Stock Purchase Plan (ESPP)Commuting to work - costs reimbursementLaptop + corporate simcard + corporate mobile device (subject to certain eligibility requirements)Bike leaseEmployee Assistance ProgramCorporate Programs including Employee Referral Program with rewardsLearning and development opportunities including in-house training and coaching, professional certifications, and courses

📌 Senior Ai Architect - Microsoft Technologies (Relocation To The Netherlands) (Bermejo)
🏢 Epam Systems
📍 Bermejo