Design Collaboration: Partner with engineering teams to embed security-by-design and privacy-by-design principles into AI agents, copilots, and automation workflows. Define and implement technical controls for: Data access and protection Model transparency and explainability Human oversight and fallback mechanisms Audit logging and traceability AI Risk & Compliance Architecture: Design and enforce compliance frameworks for high-risk AI … risk registers, and post-market monitoring plans. Microsoft Purview Integration: Use Microsoft Purview to implement and manage: Data classification and sensitivity labels Datalossprevention (DLP) policies Information protection and access controls Compliance reporting and audit trails for AI-related data flows AI System Onboarding & Governance Support: Work with the AI Governance Lead to assess … . Azure AI services, Microsoft Copilot Studio, and Power Platform Secure deployment tools (e.g., Azure Key Vault, RBAC, CI/CD pipelines) Data protection and privacy controls (e.g., DLP, masking, classification) Knowledge of regulatory frameworks including the EU AI Act, GDPR, and FCA guidance. Experience working in cross-functional teams across engineering, legal, and risk domains. More ❯
Review estate and help plan DLP with best practice deployment Identify the types of data needed to protect (e.g., personal data, financial records, intellectual property) and determine the environments where DLP will be applied (e.g., endpoints, cloud, email, network). Conduct a thorough audit of the assets. Locate where sensitive data resides, how it is used, and … with monitoring and alerting to minimise disruption, and gradually move to blocking or quarantining actions. Test policies in a controlled environment to refine them and reduce false positives Implement DLP in phases, beginning with the most critical areas or departments. Monitor performance, gather feedback, and make adjustments. Work with the IT teams to educate employees on the importance of data protection, how DLP works, and their responsibilities. Regular training reduces accidental violations and encourages reporting of suspicious activities Support in AI Copilot readiness for protecting data in SharePoint (Linked to Data Classification rules) Randstad Technologies is acting as an Employment Business in relation to this vacancy. More ❯
using: Semantic Kernel SDK (C# or Python) Azure OpenAI (GPT-4, function calling, chat completion) Planner and Kernel Memory APIs for reasoning and memory RAG pipelines grounded in enterprise data via Azure AI Search Enterprise Data & AI Services Integration: Azure AI Search (vector indexing, hybrid search) Azure Form Recognizer for document understanding Azure Language Services for summarization, translation … Form Recognizer, and Language Services GitHub Actions, CI/CD, and DevSecOps practices Responsible AI frameworks (e.g., NIST AI RMF, ISO/IEC 42001) GDPR, data residency, and DLP policies Azure DevOps, ARM/Bicep, or Terraform Proven track record delivering agent-based or GenAI solutions in enterprise or regulated environments More ❯
Administer, optimise, and maintain Microsoft 365 services (Exchange Online, Teams, SharePoint, OneDrive, Compliance Centre). Implement and maintain email and data security controls (SPF, DKIM, DMARC, anti-spam, DLP, ATP). Provide Tier-3 support for complex technical incidents and act as technical authority to internal teams. Drive solution delivery for transformation and operational programmes, with high reliability and More ❯
