- Solid experience in IT engineering, IT architecture and cloud-native systems, with a strong focus on AI, automation, and LLMs.
- Experience with AI technologies like large language models (LLMs), MLOps tools, and generative AI platforms (e.g., ChatGPT/OpenAI, Gemini AI, Notion AI).
- Practical experience building, integrating, or experimenting with AI models, LLMs, and AI-driven workflows.
- Working knowledge of enterprise IT environments, including Google Workspace, Okta, JAMF, Intune, Zoom, Slack, and Cisco Meraki.
- Understanding of cloud infrastructure (AWS, GCP, or Azure).
- Exceptional skills in technical documentation, architecture diagramming, and project planning and execution.
- Understanding of GDPR, NIST, and SOC 2.
- Ability to explain complex technology and AI clearly and simply to all audiences.
- Skilled at leading conversations that shape technology direction, drive innovation, and bring new ideas to life.
- Confident in leading executive meetings, managing AI committees, and guiding leadership teams.
- Game/software development experience strongly preferred where LLMs or automation were part of the tech stack.