with EU AI Act, FCA cybersecurity principles, and oversight of critical systems Worked directly with cybersecurity and compliance teams in regulated deployments Implemented or maintained controls under ISO 27001, NIST, or SOC2 frameworks Technical Skills & Technologies: Languages & Frameworks Python (FastAPI), LangChain, Google AI SDK, Azure Open AI SDK Cloud & AI Platforms GCP: Vertex AI, Gemini API, Cloud Run, GCS, IAM More ❯
ML systems, with experience embedding security and compliance into product design. Expert-level knowledge of Microsoft Purview for data governance, classification, and compliance. Familiarity with AI governance frameworks (e.g., NIST AI RMF, ISO/IEC 42001, Microsoft Responsible AI Standard). Hands-on experience with: Azure AI services, Microsoft Copilot Studio, and Power Platform Secure deployment tools (e.g., Azure Key More ❯
with: LangChain, AutoGen, or similar orchestration frameworks Azure AI Search, Form Recognizer, and Language Services GitHub Actions, CI/CD, and DevSecOps practices Familiarity with: 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 More ❯
identify owners and track through to completion. The successful It Risk Management Specialist will have: Technology Knowledge: Work towards a detailed understanding ofTechnologyand cyber risk frameworks (e.g. NIST/ISO27001/COBIT/ITIL). SSSDLC Expertise: Understanding of the Secure Software/System Development Lifecycle, including secure design, development, testing, and deployment practices. Process Documentation: Experience in More ❯
