Salesforce AI Integration Architect ID68517
Tasks
- Apply prompt engineering context management and token optimization best practices
- Architect end to end integrations between internal AI platforms and Salesforce Agentforce environments
- Build orchestration patterns for multi step AI workflows semantic tool execution and autonomous routing
- Define integration strategies using REST APIs gRPC and event driven architectures
- Design modular agentic AI systems with micro agent delegation
- Design scalable secure resilient distributed system architectures for autonomous AI workflows
- Develop Salesforce integrations using Salesforce Flows Invocable Apex APIs connectors and custom prompt templates
- Document architectural decision records for technical trade offs and high level requirements
- Ensure security compliance and data governance for secure data exposure
- Establish authentication boundaries trust layers and governance guardrails for AI enabled enterprise systems
- Expose backend processes as intelligent agentic tools in Salesforce ecosystems
- Maintain unified API contracts and semantic consistency across enterprise systems
Perks/Benefits
- Flextime
- Mentorship
- Office options
- Personalized growth roadmaps
- Professional growth
- Remote work options
- Techtalks
Skills/Tech-stack
Agent Orchestration | Agent integrations | Agent to Agent | Agent to Agent integrations | 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 Governance | Semantic Consistency | Semantic Tool Execution | Semantic routing | Token optimization | Tool Execution
Education
N/A
Regions
Countries
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