SAP AI Engineer
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Job Description
AI Engineer developing enterprise-grade AI agents for SAP Managed Services. Building solutions to enhance operational efficiency and automate diagnostics across SAP systems.
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.
Requirements:
- 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.
- Experience building AI solutions specifically for SAP Managed Services or enterprise operations (Preferred).
- Familiarity with AI-driven diagnostics, monitoring, or forensic use cases within SAP (Preferred).
- Exposure to secure AI deployment patterns and enterprise governance models (Preferred).
- Prior experience working in Agile or DevOps delivery environments (Preferred).
Benefits:
- Equal opportunity employer
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