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 enterprise systems and Salesforce Agentforce
- Build orchestration patterns for multi step AI workflows
- Collaborate with security and platform teams for trustworthy autonomous agent execution
- Design and optimize modular agentic AI systems
- Design scalable secure resilient distributed system architectures
- Develop integrations using Salesforce Flows Invocable Apex methods APIs connectors and custom prompt templates
- 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 governance guardrails
- Evaluate and select integration patterns including MCP and A2A communication models
- Expose backend processes as intelligent agent tools in Salesforce
- Maintain unified API contracts and semantic consistency
Perks/Benefits
- Education budget
- Fitness budget
- Flexible schedule
- Mentorship
- Professional growth
- Remote work options
- Team activity budget
- Techtalks
Skills/Tech-stack
AI workflows | API contracts | Agent Orchestration | Apex | Authentication | Authorization | Context Management | Data Governance | Distributed Systems | Invocable Apex | LLM orchestration | Multi step AI Workflows | Prompt engineering | REST API | Salesforce | Salesforce Flows | Security | Semantic Tool Execution | Semantic routing | Token optimization | Tool Execution
Education
N/A
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