AI Platform Engineer
Location: Montgomery AL
Duration: 1 year (Contract – Hire)
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.
W2 AI Platform Engineer in Montgomery at System Soft Technologies
This position is listed as contract and onsite. It was posted 2 days ago.