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Platform Architect

locationDeutschland
VeröffentlichtVeröffentlicht: Heute
Ingenieure und technische Berufe

Title: Platform Architect (M/SM) level

Location: Anywhere in Germany/Netherlands/Belgium.

Work Mode: Hybrid

Contract: 6 months with possible Extension


AI Platform Architect -- Technology Scouting & Roadmap

Monitor and evaluate the latest AI capabilities across Azure AI Foundry, OpenAI updates, Microsoft Copilot stack, and the broader ecosystem — surfacing features relevant to Uniper's energy sector context

Collaborate with Solution Owners to assess, prioritize, and integrate scouted capabilities into the AI-Works platform roadmap

Develop proof-of-concepts and feasibility studies to validate emerging technologies before platform adoption

Platform Architecture & Design:

Design scalable, secure AI platform features on Azure AI Foundry — model deployment topologies, RAG pipelines, agent orchestration, and enterprise data integration patterns

Architect multi-model, multi-modal solutions using Azure OpenAI Service, Azure AI Search, Prompt Flow, and connected cognitive services

Define and govern platform design standards aligned with Responsible AI principles, data classification policy, and Microsoft's Well-Architected Framework

Design secure-by-default integration patterns: private endpoints, managed identities, network segmentation, and API gateway governance

Security & Responsible AI Governance

Lead threat modelling and security reviews for all AI platform features, applying OWASP LLM Top 10 and Microsoft SDL guidelines

Define and enforce content safety policies using Azure AI Content Safety, prompt injection mitigations, and grounding strategies

Ensure platform compliance with EU AI Act, GDPR, and Uniper's internal AI governance framework — including model cards, data lineage, and audit logging

Conduct Responsible AI assessments covering fairness, transparency, accountability, reliability, and inclusiveness

Development & Engineering

Develop platform features following secure coding standards using Azure AI Foundry SDK, Semantic Kernel, Lang Chain, and Azure Developer CLI (azd)

Implement CI/CD pipelines in GitHub Actions for automated testing, security scanning (SAST/DAST), and multi-environment deployment

Build and maintain reusable solution accelerators — reference architectures, starter templates, and deployment scripts for rapid team onboarding