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SAP AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 5,001-10,000Since 1992H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

68 days ago

Salary

0

Seniority

Senior

Bachelor DegreeEnglishAWSAzureCloudSDLCServiceNow

Job Description

SAP AI Engineer

Orion Innovation

• 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.

Job 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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