Lead architecture and integration of autonomous AI/LLM agent ecosystems with Salesforce Agentforce. Design scalable, secure API- and event-driven integrations, define agent governance, optimize integration patterns (REST, gRPC, event-driven, MCP), and document architectural decisions while collaborating with engineering, data, security, and platform teams.
Senior Salesforce / Agentforce AI Platform Integration Architect1Job DescriptionTitle: Senior Salesforce / Agentforce AI Platform Integration ArchitectLocation: United States (Remote)/ Open to Canada location as wellOverview
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 ResponsibilitiesSystem 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
- 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
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
Deep expertise with:
- Apex methods
- Advanced Salesforce Flows
- Custom prompt templates
- Salesforce APIs and connectors
Strong experience integrating enterprise systems with Salesforce platforms.
Security & GovernanceStrong 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
- 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
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