Senior Salesforce / Agentforce AI Platform Integration Architect

Hybrid • Posted 4 hours ago • Updated 4 minutes ago
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Job Details

Skills

  • Agentforce AI Platform Integration Architect

Summary

Job Title: Senior Salesforce / Agentforce AI Platform Integration Architect

Location: Remote

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 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 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90962704
  • Position Id: 2026-166
  • Posted 4 hours ago
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