Salesforce AI Integration Architect ID68517
Tasks
- Apply best practices for prompt engineering context management token optimization and LLM orchestration
- Architect end to end integrations between internal AI platforms and Salesforce
- Build orchestration patterns for multi step AI workflows autonomous routing and semantic tool execution
- Define integration strategies using REST APIs gRPC and event driven architectures
- Design modular agentic AI systems with micro agent delegation
- Design scalable secure distributed system architectures
- Develop and enhance Salesforce integrations using Salesforce Flows Invocable Apex APIs connectors and custom prompt templates
- Document architecture decisions using architectural decision records
- Ensure compliance with security standards and data governance policies
- Establish authentication boundaries trust layers and governance guardrails for AI systems
- Evaluate and select integration patterns for AI agent communication and tool execution
- Expose backend processes as intelligent agent tools in Salesforce
- Maintain unified API contracts and semantic consistency across enterprise systems
Perks/Benefits
- Flexible schedule
- Flextime
- Mentorship
- Office options
- Personalized growth roadmaps
- Professional growth
- Remote work
- Techtalks
Skills/Tech-stack
Agent Orchestration | Agent communication | Agent to Agent | Agent-to-Agent Communication | Apex | Authentication | Bulk APIs | Context Management | Data Governance | Distributed Systems | Event Driven | Event-Driven Architectures | GRPC | LLM orchestration | Microservices | Model Context Protocol | MuleSoft | Prompt engineering | REST APIs | Salesforce | Salesforce Agentforce | Salesforce Bulk APIs | Salesforce Connect | Salesforce Flows | Security Architecture | Security Governance | Semantic Tool Discovery | Semantic routing | Token optimization | Tool discovery
Education
N/A
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