Senior AI Architect - Microsoft Technologies

ppWe're looking for a bSenior AI Architect /b to join our team in Switzerland 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. /p pThis 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. /p pUnlike 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. /p pYou will collaborate with architects, engineers, Microsoft/GitHub specialists and client leadership teams to drive secure and governed AI adoption. /p h3Responsibilities /h3 ul liDefine target-state architectures for AI platforms, assistants, RAG systems, agents, AI gateways and AI-native engineering workflows /li liLead architecture discovery, maturity assessments, technical roadmaps, platform decisions and delivery governance /li liDesign 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 applicable /li liDesign AI-native engineering systems using GitHub Copilot, GitHub Enterprise, GitHub Advanced Security, agent-ready repositories, secure pull-request practices and AI-assisted delivery patterns /li liDesign harnesses around AI systems, including agent instructions, tool contracts, MCP integrations, retrieval grounding, evaluation suites, telemetry, cost controls, policy controls and human approval gates /li liDefine governance and operational frameworks for Responsible AI, security, identity, FinOps and observability /li liTranslate business outcomes into target architecture, executive narratives, platform decisions and delivery governance across client leadership, architecture, engineering and security teams /li liFacilitate workshops, hackathons and enablement sessions focused on AI adoption, Copilot integration and engineering excellence /li liConvert practical experience into reusable patterns, accelerators and architectural blueprints /li liMentor architects and engineers and contribute to presales and solution design initiatives /li /ul h3Requirements /h3 ul li10+ years in solution architecture, cloud platforms or platform engineering /li liStrong experience with enterprise AI, GenAI, agentic systems, RAG and AI-native engineering /li liProficiency with Microsoft Azure and modern cloud-native architecture /li liKnowledge of GitHub workflows (CI/CD, DevOps, IaC) and secure engineering practices /li liTrack record of moving AI initiatives beyond PoC to enterprise-grade production environments /li liHands‑on capability to validate prototypes, review code and guide engineering decisions /li liAbility to explain how to make AI useful in production, not just impressive in a demo /li liCapability to design platform architecture, governance models, adoption plans and AI delivery workflows /li liConfidence working across enterprise realities, leveraging Azure and GitHub pragmatically /li liStrong communication skills with both executives and technical stakeholders /li /ul h3Nice to have /h3 ul liExperience with GitHub Copilot Enterprise adoption, AI-native SDLC transformation, GitHub Actions and GitHub Advanced Security /li liFamiliarity with agent frameworks such as Semantic Kernel, LangChain, LangGraph, AutoGen, LlamaIndex, CrewAI or similar /li liKnowledge of Microsoft 365 Copilot, Copilot Studio, Microsoft Graph, Teams, SharePoint or Power Platform integration /li liUnderstanding of AI gateways, model routing, semantic caching, model abstractions, usage telemetry and AI FinOps /li liBackground in enterprise infrastructure with Terraform/IaC, Kubernetes/AKS, CI/CD and secure API gateway practices /li liAwareness 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 workflows /li liFamiliarity with compliance and governance standards such as GDPR, EU AI Act readiness or ISO/IEC 42001 /li liExperience in regulated industries such as finance, healthcare, energy, retail, manufacturing or public sector /li liKnowledge of other AI ecosystems, including AWS Bedrock, Google Vertex AI, Databricks, Snowflake, Anthropic, OpenAI API or Hugging Face /li /ul h3We offer /h3 ul li5 weeks of vacation /li liEPAM Employee Stock Purchase Plan (ESPP) /li liEnhanced parental leave /li liExtended pension plan /li liDaily sickness allowance insuranceEmployee assistance program /li liGlobal business travel medical and accident insurance /li liLearning and development opportunities including in-house training and coaching, professional certifications, and courses /li liPlease note that any offers will be subject to appropriate background checks /li liWe do not accept CVs from recruiting or staffing agencies /li liFor this position, we are able to consider applications from the following: /li liSwiss nationals /li liEU/EFTA nationals /li liThird-country nationals based in Switzerland with an appropriate work permit /li liDisplaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits /li /ul /p #J-18808-Ljbffr