AI Platform Engineer

Required Skills: Approximately 2 - 4 years of professional experience in cloud, systems, platform, application, DevOps, automation, enterprise SaaS administration, technical support, or a closely related engineering discipline. At least one year of meaningful exposure to AI, intelligent automation, generative AI, or AI-enabled enterprise platforms; equivalent hands-on project experience may be considered. Hands-on experience with at least one major AI ecosystem and the ability to learn and support additional platforms. Working knowledge of APIs, identity/access concepts, cloud/SaaS administration, troubleshooting, change management, and technical documentation. Education: Bachelor's degree in Computer Science, Information Systems, Engineering, Cybersecurity, or a related technical discipline, or an equivalent combination of education and relevant professional experience. Preferred Skills: Experience with OpenAI/ChatGPT Enterprise or Business, OpenAI APIs, Microsoft Copilot/Copilot Studio/Azure AI services, or Google Gemini/Vertex AI/Google Workspace. Experience supporting APIs, connectors, AI agents, retrieval-augmented generation (RAG), enterprise search, knowledge grounding, or related integration patterns Experience with PowerShell, Python, REST APIs, JSON, scripting, workflow automation, or low-code automation platforms Experience with Microsoft Entra ID, Google identity, IAM/RBAC concepts, service principals/service accounts, secrets, permissions, or access reviews. Familiarity with enterprise security, privacy, data-loss prevention, records/data handling, responsible AI, and AI governance requirements. Experience using IT service management practices for incident, request, change, problem, knowledge, and service operations. System Soft Technologies