Senior AI Architect - Microsoft Technologies (m/f/d)

We're looking for a Senior AI Architect to join our team in Germany 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, GitHub-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, GitHub Copilot integration, secure architectures, FinOps and governance at scale.You will collaborate with architects, engineers, Microsoft/GitHub 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 OpenAI, Azure AI Search, Azure API Management, AKS, Azure Functions, Application Insights, Azure Monitor, Key Vault, Microsoft Entra ID, Cosmos DB, PostgreSQL and Microsoft Fabric where applicableDesign AI-native engineering systems using GitHub Copilot, GitHub Enterprise, GitHub 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, FinOps 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, GenAI, agentic systems, RAG and AI-native engineeringProficiency with Microsoft Azure and modern cloud-native architectureKnowledge of GitHub workflows (CI/CD, DevOps, IaC) and secure engineering practicesTrack record of moving AI initiatives beyond PoC to enterprise-grade production environmentsHands-on capability to validate prototypes, review code and guide engineering decisionsAbility 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 GitHub pragmaticallyStrong communication skills with both executives and technical stakeholdersNice to haveExperience with GitHub Copilot Enterprise adoption, AI-native SDLC transformation, GitHub Actions and GitHub Advanced SecurityFamiliarity with agent frameworks such as Semantic Kernel, LangChain, LangGraph, AutoGen, LlamaIndex, CrewAI or similarKnowledge of Microsoft 365 Copilot, Copilot Studio, Microsoft Graph, Teams, SharePoint or Power Platform integrationUnderstanding of AI gateways, model routing, semantic caching, model abstractions, usage telemetry and AI FinOpsBackground in enterprise infrastructure with Terraform/IaC, 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, OpenAI API or Hugging FaceWe offer30 days holiday per annumCompany Pension SchemeRegular performance assessmentsDiscount on Fitness-First Black Membershipbitkom - Corporate BenefitsEmployee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)Learning and development opportunities, including in-house training and coaching, professional certifications, and coursesFriendly and enjoyable working teamRegular corporate and social eventsFlexible and remote working opportunitiesAward-winning workplace: Great Place To Work certified in 2026, Kununu (Top Company 2022–2026), NewWork Business Award 2025 for outstanding culture, innovation and employee satisfaction. #J-18808-Ljbffr