Salesforce AI Integration Architect ID68517
Tasks
- Apply prompt engineering context management token optimization and 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 and semantic tool execution
- Collaborate on unified API contracts and semantic consistency across enterprise systems
- 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 and enhance Salesforce integrations using Salesforce Flows Invocable Apex and Salesforce APIs
- Document architectural decision records for technical trade offs and requirements
- Ensure compliance with enterprise security standards and data governance policies
- Establish authentication boundaries trust layers and AI governance guardrails
- Expose backend processes as intelligent agentic tools in Salesforce
Perks/Benefits
- Education budget
- Fitness budget
- Flextime
- Mentorship
- Personalized growth roadmap
- Remote work options
- Team activity budget
- Techtalks
Skills/Tech-stack
AI workflows | Agent Orchestration | Agent integration | Agent to Agent | Agent to Agent Integration | Apex | Authentication | Bulk API | Context Management | Distributed Systems | Event Driven | Event-driven architecture | GRPC | LLM orchestration | Microservices | Model Context Protocol | MuleSoft | Multi step AI Workflows | Prompt engineering | REST APIs | Salesforce | Salesforce Agentforce | Salesforce BULK API | Salesforce Connect | Salesforce Flows | Security Governance | Semantic Tool Execution | Semantic routing | Token optimization | Tool Execution
Education
N/A
Regions
Countries
States
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