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Posted 07 June, 2026

Senior Salesforce / Agentforce, AI Platform Integration Architect

Aspire, Jordan
Saint Thomas Mount, TN, IN Full Time
Reference: 2579135e9de67336

Job Description

We are seeking a highly skilled and strategic AI Platform Integration Architect to drive the next generation of our enterprise automation ecosystem. In this role, you will bridge the gap between our internal data architectures and Salesforce’s advanced agentic capabilities. A core focus of this position is the evolution and enterprise scaling of an autonomous AI co-worker built and operated internally.\nKey Responsibilities\nThe AI Platform Integration Architect will define how autonomous systems interact safely, efficiently, and intelligently across our corporate ecosystem.\nKey responsibilities include:\nSystem Orchestration & Blueprinting: Architect end-to-end integration designs connecting Aspire's internal AI co-worker and related data platform services to Salesforce Agentforce environments.\nPattern Optimization & Decisioning: Apply rigorous architectural frameworks to choose the correct integration pattern (Traditional APIs, Model Context Protocol, or Agent-to-Agent) based on transaction volume, reasoning overhead, latency boundaries, and data sensitivity.\nAgent Specialization Management: Design modular agent structures to avoid monolithic, overloaded reasoning engines.

Enforce governance limits (e.g., maintaining under 10 topics per agent) by elegantly delegating complex tasks across specialized autonomous micro-agents.\nCross-Functional Collaboration: Work directly with Data Engineers, Salesforce Administrators, Core Platform Architects, and Security Operations to maintain unified API contracts and clean semantic understanding across all endpoints.\nSecurity and Trust Governance: Establish explicit trust filters, secure authentication boundaries, and data exposure guardrails to protect sensitive corporate assets while maintaining fluid agent execution.\n\nRequirements\nMust-Have Skills\nAgentic AI Architecture\nSolid understanding of Large Language Model (LLM) orchestration, prompt engineering, context windows, and token conservation.\nExperience designing autonomous routing systems that leverage semantic understanding to execute multi-step tool calls.\nEnterprise Integration\nProven expertise in high-scale data synchronization patterns.\nMasterful command of REST, gRPC, and event-driven architectures (e.g., Salesforce Pub/Sub API) to coordinate distributed cloud systems.\nSalesforce Customization\nDeep familiarity with wrapping complex backend processes into agentic tools via Invocable Apex methods, advanced Salesforce Flows, and custom prompt templates.\nArchitectural Governance\nExperience authoring comprehensive Architectural Decision Records (ADRs) that clearly map High-Level Requirements (HLRs) against technical constraints and explicit trade-offs.\nAdditional Must-Have Skills\nStrong experience with enterprise integrations and system architecture.\nStrong Apex methods, advanced Salesforce Flows, and custom prompt templates.\nExperience with APIs (REST, gRPC, event-driven architectures).\nExperience integrating systems with Salesforce.\nKnowledge of AI/LLM concepts such as:\nPrompt engineering\nContext management\nMulti-step AI workflows\nAgent orchestration\nExperience designing scalable and secure distributed systems.\nExperience with Salesforce tools such as:\nSalesforce Flows\nAPIs and connectors\nUnderstanding of security, authentication, and data governance.\nExperience documenting architecture decisions and technical trade-offs.\nStrong collaboration skills across engineering, data, and security teams.\nNice to Have\nExperience with Model Context Protocol (MCP).\nExperience with Agent-to-Agent (A2A) integrations.\nExperience with MuleSoft or middleware platforms.\nExperience building or managing autonomous AI agents or micro-agent systems.\nFamiliarity with Salesforce Agentforce.\nExperience with semantic tool discovery or AI-native integrations.\nKnowledge of Bulk APIs and Salesforce Connect.\nExperience working in large-scale enterprise AI environments.

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