Commercial Life Sciences Solution Architect – AI (Pharma, Digital Health & Patient Engagement)
-how: Microservices, REST APIs, CI/CD data pipelines, cloud platforms MCP, RAG, AgentDNS, A2A Protocol, AI workflow automation, AI Memory...
-how: Microservices, REST APIs, CI/CD data pipelines, cloud platforms MCP, RAG, AgentDNS, A2A Protocol, AI workflow automation, AI Memory...
Familiarity with agentic LLM-based approaches and related technologies (e.g., RAG, MCP, A2A) Interest in interfacial phenomena...
with Python, PyTorch, TensorFlow, .NET. A2A, MCP, AG-UI protocols as well as Azure ML. Ability to travel up to 10... with agentic protocols (MCP, A2A), multi-agent patterns (RAG, Chain of Thoughts, Agents), and LangGraph stack features (memory...
-to-agent (A2A) communication protocols using Model Context Protocol (MCP), enabling tool discovery and dynamic peer -to-peer... generation Enterprise integration expertise with RESTful APIs, A2A interoperability, webhook systems, Model Context Protocol...
AI, including deep familiarity with MCP and A2A protocols. You work well with others and know how to ensure systems are scalable...
Design and architect core AI capability frameworks including AI Ops, Model Context Protocol (MCP), Agent2Agent Protocol (A2A...
emerging standards like MCP and A2A. Set and achieve product engagement targets as a leading indicator of success...
, and external platforms using cutting-edge standards like MCP and A2A. You'll be the driving force of innovation where AI, security...
and emerging AI protocols such as Model Context Protocol (MCP) and Agent2Agent (A2A). Knowledge of data engineering, including...
across Windows and Linux required. Experience with LangChain, MCP, RAG A2A required Experience with typical python libraries (async...