W2 AI Platform Engineer
System Soft
Job Description
AI Platform Engineer
\nLocation: Montgomery AL
\nDuration: 1 year (Contract – Hire)
\n \nRequired Skills:
\n- \n
- 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. \n
- 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. \n
- Hands-on experience with at least one major AI ecosystem and the ability to learn and support additional platforms. \n
- Working knowledge of APIs, identity/access concepts, cloud/SaaS administration, troubleshooting, change management, and technical documentation. \n
Education:
\nBachelor's degree in Computer Science, Information Systems, Engineering, Cybersecurity, or a related technical discipline, or an equivalent combination of education and relevant professional experience.
\n \nPreferred Skills:
\n- \n
- Experience with OpenAI/ChatGPT Enterprise or Business, OpenAI APIs, Microsoft Copilot/Copilot Studio/Azure AI services, or Google Gemini/Vertex AI/Google Workspace. \n
- Experience supporting APIs, connectors, AI agents, retrieval-augmented generation (RAG), enterprise search, knowledge grounding, or related integration patterns \n
- Experience with PowerShell, Python, REST APIs, JSON, scripting, workflow automation, or low-code automation platforms \n
- Experience with Microsoft Entra ID, Google identity, IAM/RBAC concepts, service principals/service accounts, secrets, permissions, or access reviews. \n
- Familiarity with enterprise security, privacy, data-loss prevention, records/data handling, responsible AI, and AI governance requirements. \n
- Experience using IT service management practices for incident, request, change, problem, knowledge, and service operations. \n
Vacancy posted 3 days ago
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