Salesforce AI Integration Architect ID68517
Tasks
- Apply prompt engineering context management token optimization LLM orchestration best practices
- Architect end to end integrations between internal AI platforms and Salesforce Agentforce
- Build orchestration patterns for multi step AI workflows autonomous routing semantic tool execution
- Define integration strategies using REST APIs gRPC event driven architectures
- Design modular agentic AI systems with micro agent delegation
- Design scalable secure resilient distributed system architectures
- Develop and enhance Salesforce Flow and Apex based integrations
- Document architectural decision records for technical trade offs constraints
- Evaluate and select integration patterns including MCP and agent to agent communication
- Expose backend processes as intelligent agentic tools in Salesforce ecosystems
- Maintain unified API contracts and semantic consistency with cross functional teams
Perks/Benefits
- Education budget
- Exciting projects
- Fitness budget
- Flextime
- Mentorship
- Office options
- Personalized growth roadmaps
- Professional growth
- Remote work options
- Team activity budget
- Techtalks
Skills/Tech-stack
API Integration | Agent Orchestration | Agent to Agent | Agentforce | Apex | Authentication | Bulk APIs | Context Management | Data Governance | 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 APIs | Salesforce Connect | Salesforce Flows | Security Architecture | Semantic routing | Token optimization
Education
N/A
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