This is a remote position. We are looking for an AI SAP Engineer to join a strategic SAP Managed Services transformation programme. The role focuses on building AI-driven solutions that integrate directly with SAP systems to automate support, improve diagnostics, and enhance operational efficiency in enterprise environments. This is a hands-on engineering role combining GenAI and LLM capabilities with strong SAP technical expertise, focused on delivering production-ready AI agents rather than experimental solutions.
Responsibilities:
Design and develop AI agents using frameworks such as LangGraph and MCP-based architectures
Build agent interaction layers using tools such as CopilotKit, Vercel AI SDK, or similar
Develop and deploy AI services in AWS or Azure environments
Design and implement SAP integrations using OData services, Function Modules, CDS views, and APIs
Work with SAP data models to enable contextual retrieval and automation workflows
Collaborate with SAP Basis teams on connectivity, performance, and access management
Integrate AI capabilities into incident management and ticketing workflows such as ServiceNow
Develop reusable AI components supporting SAP-focused automation and operations
Collaborate with product and managed services teams to deliver production-ready AI systems
Requirements:
Strong hands-on experience in AI and LLM development
Experience with agentic frameworks such as LangGraph
Experience designing MCP-based architectures and integrations
Experience building AI interfaces or agent interaction layers
Experience deploying AI workloads in AWS or Azure
Strong SAP technical expertise including OData services, Function Modules, CDS views, and SAP data structures
Experience with ABAP development tools and modern SAP development approaches
Understanding of SAP Basis concepts and managed services environments
Experience working with SAP incident management and operational workflows
Strong problem-solving skills across AI, cloud, and SAP domains
Nice to have:
Experience delivering AI solutions in SAP Managed Services environments
Exposure to AI-driven diagnostics, monitoring, or analysis in SAP systems
Understanding of secure AI deployment and enterprise governance
Experience working in Agile or DevOps environments
Benefits:
Solid, competitive salary
Work in a multinational environment on international projects
Comprehensive healthcare
Long-term B2B contract with a stable project pipeline
Remote work model
AI SAP Engineer
This is a remote position. We are looking for an AI SAP Engineer to join a strategic SAP Managed Services transformation programme. The role focuses on building AI-driven solutions that integrate directly with SAP systems to automate support, improve diagnostics, and enhance operational efficiency in enterprise environments. This is a hands-on engineering role combining GenAI and LLM capabilities with strong SAP technical expertise, focused on delivering production-ready AI agents rather than experimental solutions.
Responsibilities:
Design and develop AI agents using frameworks such as LangGraph and MCP-based architectures
Build agent interaction layers using tools such as CopilotKit, Vercel AI SDK, or similar
Develop and deploy AI services in AWS or Azure environments
Design and implement SAP integrations using OData services, Function Modules, CDS views, and APIs
Work with SAP data models to enable contextual retrieval and automation workflows
Collaborate with SAP Basis teams on connectivity, performance, and access management
Integrate AI capabilities into incident management and ticketing workflows such as ServiceNow
Develop reusable AI components supporting SAP-focused automation and operations
Collaborate with product and managed services teams to deliver production-ready AI systems
Requirements:
Strong hands-on experience in AI and LLM development
Experience with agentic frameworks such as LangGraph
Experience designing MCP-based architectures and integrations
Experience building AI interfaces or agent interaction layers
Experience deploying AI workloads in AWS or Azure
Strong SAP technical expertise including OData services, Function Modules, CDS views, and SAP data structures
Experience with ABAP development tools and modern SAP development approaches
Understanding of SAP Basis concepts and managed services environments
Experience working with SAP incident management and operational workflows
Strong problem-solving skills across AI, cloud, and SAP domains
Nice to have:
Experience delivering AI solutions in SAP Managed Services environments
Exposure to AI-driven diagnostics, monitoring, or analysis in SAP systems
Understanding of secure AI deployment and enterprise governance
Experience working in Agile or DevOps environments
Benefits:
Solid, competitive salary
Work in a multinational environment on international projects
Comprehensive healthcare
Long-term B2B contract with a stable project pipeline
Remote work model
What You'll Do
Design and develop AI agents using frameworks such as LangGraph and MCP-based architectures
Build agent interaction layers using tools such as CopilotKit, Vercel AI SDK, or similar
Develop and deploy AI services in AWS or Azure environments
Design and implement SAP integrations using OData services, Function Modules, CDS views, and APIs
Work with SAP data models to enable contextual retrieval and automation workflows
Collaborate with SAP Basis teams on connectivity, performance, and access management
