AI Engineer - Demand Science Portfolio
. Familiarity and experience with agentic AI and concepts (orchestration, observability, Judging, MCP protocol, A2A) Experience...
. Familiarity and experience with agentic AI and concepts (orchestration, observability, Judging, MCP protocol, A2A) Experience...
Role The role requires strong knowledge of Agentic AI development, including expertise in Agent-to-Agent (A2A... impact for customers. Key Responsibilities Design, develop, and deploy Agentic AI systems leveraging A2A and MCP...
but not limited to SAP PO, A2A integration, B2B integration, EDI, on-premise and cloud application integrations (CPI), BTP Integration... years of experience in developing integrations in both A2A and B2B scenarios using SAP PO and CPI, configuring File, IDoc...
implementation, including A2A interoperability and the use of Vertex AI Agent Builder / ADK on Google Cloud. Key Responsibilities... architectures. Design secure, scalable, and interoperable multi-agent systems following A2A (Agent-to-Agent) principles...
engineering, agentic architecture, responsible AI practices and familiarity with emerging industry standards such as MCP and A2A...
. Understanding of AI and App technologies, including LLMs, Agent protocols (MCP, A2A), orchestration frameworks (Semantic Kernel...
, Claude, or similar. Familiarity with agentic protocols such as MCP or A2A is a plus....
of scalability for A2A products and services Execute on the team goals to achieve Franchise priorities in tandem with regional...
-scale datasets. Familiarity with GenAI and Agentic AI frameworks (MAF, A2A, LangChain, Azure ML, Vertex...
, evaluations, tools and industry protocols (e.g. MCP, A2A) Drive product requirements, feature prioritization and maintain...