Openkyber

AI Model Deployment Administrator

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Model Deployment Administrator on a W2 contract, 100% remote. Requires strong AI/LLM development, SAP technical expertise, and cloud experience (AWS/Azure). Familiarity with SAP incident management and Agile/DevOps environments is preferred. Pay rate not specified.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
March 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Alaska
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🧠 - Skills detailed
#Scala #Agile #DevOps #Model Deployment #Azure #Deployment #Programming #AI (Artificial Intelligence) #SAP #Cloud #Monitoring #Automation #ABAP (Advanced Business Application Programming) #AWS (Amazon Web Services) #Eclipse
Role description
Hiring a SAP AI Engineer @ 100% Remote for a contract position on W2. Summary: We are seeking an experienced AI Engineer to support the design, development, and deployment of AI powered solutions within SAP Managed Services. This role focuses on building enterprise-grade AI agents that integrate deeply with SAP systems to enhance operational efficiency, automate diagnostics, and improve service delivery outcomes. The ideal candidate will combine strong AI engineering skills with hands-on SAP technical expertise and a solid understanding of managed services operations. Key Responsibilities: Design and develop AI Agents leveraging modern frameworks such as LangGraph and Model Context Protocol (MCP) to support SAP use cases. Build and enhance the AI Agent experience layer using tools such as CopilotKit, Vercel AI SDK, or equivalent frameworks. Enable and support cloud infrastructure (AWS or Azure) for AI Agent deployment, scalability, and secure operations. Develop AI coding assets and MCP-based integrations to support the AI SDLC for SAP, including tooling and automation frameworks. Design and implement SAP integrations using OData services, Function Modules, and CDS views. Collaborate with SAP Basis teams to support system connectivity, transports, performance, and access management Work with SAP data structures to enable accurate context retrieval, analysis, and automation. Integrate AI solutions with SAP incident and ticketing processes (e.g., ServiceNow) to support diagnostics, triage, and resolution workflows. Partner closely with Technical Product Managers, SAP functional teams, and Managed Services stakeholders to deliver production-ready AI solutions. Required Skills and Experience Strong experience in AI/LLM development, including agentic frameworks (e.g., LangGraph) and MCP-based architectures. Hands-on experience building AI agent front-end or experience layers (CopilotKit, Vercel AI SDK, or similar). Experience enabling and operating AI workloads on AWS or Azure. Proficiency in SAP technical development: OData services, Function Modules, CDS views, SAP data models and structures, Eclipse ABAP Development Tools ("ADT") and RESTful ABAP Programming Model ("RAP") and publishing APIs using OData V4. Working knowledge of SAP Basis concepts and managed services environments. Familiarity with SAP incident management processes, including integration with tools such as ServiceNow. Strong problem-solving skills and the ability to work across AI, cloud, and SAP domains. Preferred Qualifications Experience building AI solutions specifically for SAP Managed Services or enterprise operations. Familiarity with AI-driven diagnostics, monitoring, or forensic use cases within SAP. Exposure to secure AI deployment patterns and enterprise governance models. Prior experience working in Agile or DevOps delivery environments What Success Looks Like: AI agents that are production-ready, secure, and deeply integrated with SAP systems. Reduced incident resolution times and improved service reliability. Scalable AI solutions that can be reused across multiple SAP managed services engagements For applications and inquiries, contact: hirings@openkyber.com