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 and Salesforce Agentforce environments
- Author architectural decision records for technical trade offs constraints and requirements
- Build orchestration patterns for multi step AI workflows autonomous routing and semantic tool execution
- Collaborate to maintain unified API contracts and semantic consistency
- Define integration strategies using REST APIs gRPC event driven architectures and Salesforce native capabilities
- Design and optimize modular agentic AI systems using micro agent delegation
- Design scalable secure resilient distributed system architectures for autonomous AI workflows
- Develop and enhance Salesforce integrations using 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 AI governance guardrails
- Evaluate and select integration patterns for traditional APIs MCP and agent to agent communication models
- Expose backend processes as intelligent agentic tools within Salesforce ecosystems
- Partner with security and platform teams to support trustworthy autonomous agent execution
Perks/Benefits
- Education budget
- Fitness budget
- Flexible schedule
- Mentorship
- Office options
- Personalized growth roadmaps
- Remote work options
- Team activity budgets
- Techtalks
Skills/Tech-stack
Agent Orchestration | Apex | Authentication | Context Management | Data Governance | Distributed Systems | Event Driven | Event-Driven Architectures | GRPC | LLM orchestration | Microservices | Prompt engineering | REST APIs | Salesforce | Salesforce Flows | Security | Semantic routing | Token optimization
Education
N/A
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