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• 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
• Strong understanding of Large Language Model (LLM) orchestration • Strong understanding of prompt engineering • Strong understanding of context window management • Strong understanding of token conservation strategies • Strong understanding of multi-step AI workflows • Strong understanding of agent orchestration frameworks • Experience designing autonomous routing systems leveraging semantic understanding and tool execution. • Proven expertise in enterprise integrations and scalable system architecture • Strong experience with REST APIs • Strong experience with gRPC • Strong experience with event-driven architectures • Strong experience with Salesforce Pub/Sub API • Deep expertise with Apex methods • Deep expertise with Advanced Salesforce Flows • Deep expertise with custom prompt templates • Strong experience integrating enterprise systems with Salesforce platforms. • Strong understanding of authentication and authorization models • Strong understanding of secure API design • Strong understanding of data governance • Strong understanding of enterprise trust boundaries • Experience documenting architecture decisions and technical trade-offs. • Strong communication and cross-functional collaboration skills • Ability to partner across engineering, security, data, and platform teams
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