Salesforce AI Integration Architect ID68517
Tasks
- Apply best practices for prompt engineering context management token optimization LLM orchestration
- Architect end to end integrations between AI platforms and Salesforce Agentforce
- Author architectural decision records for technical trade offs constraints and requirements
- Build orchestration patterns for multi step AI workflows autonomous routing semantic tool execution
- Collaborate to maintain unified API contracts and semantic consistency
- Define integration strategies using REST APIs gRPC event driven architectures
- Design modular agentic AI systems with micro agent delegation
- Design scalable secure distributed system architectures for autonomous AI workflows
- Develop integrations using Salesforce Flows Invocable Apex APIs connectors and custom prompt templates
- Ensure compliance with enterprise security standards and data governance policies
- Establish authentication boundaries trust layers and governance guardrails
- Evaluate and select integration patterns including model context protocol and agent to agent communication models
- Expose backend processes as intelligent agentic tools in Salesforce
Perks/Benefits
- Education budget
- Exciting projects
- Fitness budget
- Flexible schedule
- Mentorship
- Personalized growth roadmaps
- Professional growth
- Remote and office options
- Team activity budget
- Techtalks
Skills/Tech-stack
Agent Orchestration | Agent to Agent | Apex | Architecture Decision | Architecture Decision Records | Authentication | Bulk API | Context Management | Data Governance | Decision records | Distributed Systems | Event Driven | Event-driven architecture | GRPC | Invocable Apex | LLM orchestration | Microservices | Model Context Protocol | MuleSoft | Prompt engineering | REST APIs | Salesforce | Salesforce APIs | Salesforce BULK API | Salesforce Connect | Salesforce Flows | Security Architecture | Semantic routing | Token optimization
Education
N/A
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