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
- Author architectural decision records and document trade offs and requirements
- Build orchestration patterns for multi step AI workflows and autonomous routing
- Collaborate to maintain unified API contracts and semantic consistency
- 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
- Develop integrations using Salesforce Flows Invocable Apex APIs connectors and custom prompt templates
- Ensure compliance with security standards data governance and secure data exposure practices
- Establish authentication boundaries trust layers and AI governance guardrails
- Evaluate and select integration patterns and communication models
- Expose backend processes as intelligent agentic tools in Salesforce ecosystems
- Partner with security and platform teams to ensure trustworthy autonomous agent execution
Perks/Benefits
- Education budget
- Fitness budget
- Flextime
- Mentorship
- Office option
- Personalized growth roadmaps
- Professional growth
- Remote work option
- Team activity budget
- Techtalks
Skills/Tech-stack
Agent Orchestration | Agent to Agent | Apex | Architecture Decision | Architecture Decision Records | Authentication | Bulk APIs | Context Management | Data Governance | Decision records | Distributed Systems | Event Driven | Event-driven architecture | 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 Tool Discovery | Semantic routing | Token optimization | Tool discovery
Education
N/A
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