Architect end-to-end integration solutions connecting internal AI co-worker platforms and enterprise data services with Salesforce Agentforce environments Design scalable and secure distributed architectures across cloud-native enterprise ecosystems Define integration blueprints using APIs, event-driven systems, and autonomous agent orchestration patterns Design modular autonomous AI and micro-agent ecosystems to prevent overloaded reasoning engines Establish governance standards for agent specialization, delegation boundaries, and semantic task routing Evaluate and select optimal integration approaches, including REST APIs, gRPC services, event-driven architectures, and Model Context Protocol (MCP) Build and integrate Salesforce-native AI capabilities using Invocable Apex methods, Advanced Salesforce Flows, and custom prompt templates Enable intelligent workflows and autonomous execution capabilities within Salesforce ecosystems Establish authentication boundaries, trust filters, and secure access controls for AI-driven enterprise workflows Define data governance standards for sensitive enterprise information Requirements Strong understanding of Large Language Model (LLM) orchestration Strong understanding of prompt engineering Strong understanding of context window management Strong understanding of token conserva
