Senior Salesforce / Agentforce AI Platform Integration Architect1Job Description Title: Senior Salesforce / Agentforce AI Platform Integration Architect Location: United States (Remote)/ Open to Canada location as well

Overview

Indeed’s GTM Core team is seeking a highly skilled and strategic Senior Salesforce / Agentforce AI Platform Integration Architect to lead the evolution of enterprise-scale autonomous AI systems integrated with Salesforce Agentforce environments. This role will serve as a bridge between internal AI/data platform services and Salesforce’s advanced agentic capabilities while defining scalable, secure, and intelligent orchestration frameworks across distributed enterprise systems. The ideal candidate combines deep Salesforce integration expertise with modern AI/LLM architecture knowledge, enterprise systems thinking, and strong governance practices.

Key Responsibilities

System Orchestration & Architecture 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 AI Agent Architecture & Governance Design modular autonomous AI and micro-agent ecosystems to prevent overloaded reasoning engines Establish governance standards for:Agent specialization Delegation boundaries Semantic task routing Apply architectural principles to maintain efficient multi-agent collaboration and orchestration Integration Pattern Optimization Evaluate and select optimal integration approaches, including:REST APIs gRPC services Event-driven architectures Model Context Protocol (MCP) Agent-to-Agent (A2A) communication patterns Make architecture decisions based on:Transaction volume Latency requirements Reasoning complexity Data sensitivity Token and context optimization Salesforce Platform Integration Build and integrate Salesforce-native AI capabilities using:Invocable Apex methods Advanced Salesforce Flows Custom prompt templates APIs and connectors Enable intelligent workflows and autonomous execution capabilities within Salesforce ecosystems Security, Governance & Compliance Establish authentication boundaries, trust filters, and secure access controls for AI-driven enterprise workflows Define data governance standards for sensitive enterprise information Ensure compliance with enterprise security and architectural governance requirements Documentation & Technical Leadership Author comprehensive Architectural Decision Records (ADRs) Clearly document:Technical trade-offs Architectural constraints High-Level Requirements (HLRs) Collaborate closely with:Data Engineers Salesforce Administrators Security Operations teams Platform Architecture teams Required Qualifications (Must-Have Skills) AI & Agentic Architecture Strong understanding of: Large Language Model (LLM) orchestration Prompt engineering Context window management Token conservation strategies Multi-step AI workflows Agent orchestration frameworks Experience designing autonomous routing systems leveraging semantic understanding and tool execution. Enterprise Integration & Distributed Systems Proven expertise in enterprise integrations and scalable system architecture Strong experience with:REST APIs gRPC Event-driven architectures Salesforce Pub/Sub API Experience integrating distributed cloud systems with Salesforce environments Salesforce Expertise Deep expertise with: Apex methods Advanced Salesforce Flows Custom prompt templates Salesforce APIs and connectors Strong experience integrating enterprise systems with Salesforce platforms. Security & Governance Strong understanding of: Authentication and authorization models Secure API design Data governance Enterprise trust boundaries Experience documenting architecture decisions and technical trade-offs. Collaboration & Leadership Strong communication and cross-functional collaboration skills Ability to partner across engineering, security, data, and platform teams Preferred Qualifications (Nice-to-Have) Experience with Model Context Protocol (MCP) Experience with Agent-to-Agent (A2A) integrations Experience with MuleSoft or middleware platforms Experience building autonomous AI agents or micro-agent ecosystems Familiarity with Salesforce Agentforce Experience with semantic tool discovery or AI-native integrations Knowledge of Salesforce Bulk APIs and Salesforce Connect Experience operating within large-scale enterprise AI environments