Senior Salesforce / Agentforce AI Platform Integration Architect

Jade Global•San Jose, CA

8d•Remote

About The Position

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.

Requirements

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.
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
Deep expertise with: Apex methods, Advanced Salesforce Flows, Custom prompt templates, Salesforce APIs and connectors
Strong experience integrating enterprise systems with Salesforce platforms.
Strong understanding of: Authentication and authorization models, Secure API design, Data governance, 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

Nice To Haves

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

Responsibilities

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, Semantic task routing
Apply architectural principles to maintain efficient multi-agent collaboration and orchestration
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
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
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
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