Microsoft AI Platform Architect

AarkTech Solutions GmbH specializes in Software Development and Consulting Services across the industries. Our strategic vision is to position ourselves as a trusted partner in the Swiss market by providing innovative, high-quality IT solutions.

JOB DESCRIPTIONMicrosoft AI Platform Architect Technology Scouting & RoadmapMonitor and evaluate the latest AI capabilities across Azure AI Foundry, OpenAI updates, Agent 365, Microsoft Copilot stack, and the broader ecosystem — surfacing features relevant to Uniper's energy sector contextCollaborate with Solution Owners to assess, prioritize, and integrate scouted capabilities into the AIWorks platform roadmapDevelop proof-of-concepts and feasibility studies to validate emerging technologies before platform adoption Platform Architecture & DesignDesign scalable, secure AI platform features on Azure AI Foundry — model deployment topologies, RAG pipelines, agent orchestration, and enterprise data integration patternsArchitect multi-model, multi-modal solutions using Azure OpenAI Service, Azure AI Search, Prompt Flow, and connected cognitive servicesDefine and govern platform design standards aligned with Responsible AI principles, data classification policy, and Microsoft's Well-Architected FrameworkDesign secure-by-default integration patterns: private endpoints, managed identities, network segmentation, and API gateway governanceObservability and Telemetry solution design for Microsoft AI Platform, Embedded AI. Security & Responsible AI GovernanceLead threat modelling and security reviews for all AI platform features, applying OWASP LLM Top 10 and Microsoft SDL guidelinesDefine and enforce content safety policies using Azure AI Content Safety, prompt injection mitigations, and grounding strategiesEnsure platform compliance with EU AI Act, GDPR, and Uniper's internal AI governance framework — including model cards, data lineage, and audit loggingConduct Responsible AI assessments covering fairness, transparency, accountability, reliability, and inclusiveness Development & EngineeringDevelop platform features following secure coding standards using Azure AI Foundry SDK, Semantic Kernel, LangChain, and Azure Developer CLI (azd)Implement CI/CD pipelines in GitHub Actions for automated testing, security scanning (SAST/DAST), and multi-environment deploymentBuild and maintain reusable solution accelerators — reference architectures, starter templates, and deployment scripts for rapid team onboarding