Agentic Data Specialist (multiple Levels)

Salesforce

Base: cad 154,700 to cad 310,700 (bc); cad 154,700...
Not specified (potentially hybrid or fully remote based on industry trends).
5+ years data engineering or integration experience
Expertise in rag, vector databases, and knowledge bases
Proficiency in python, java, or javascript programming
Salesforce is seeking an Agentic Data Specialist to connect advanced AI agents with enterprise technology, focusing on data integration and management. Candidates should have significant experience in data engineering, AI integration, and the ability to work collaboratively in a dynamic environment

Job Summary

  • This role serves as the crucial link between advanced AI agents and the wider enterprise technology landscape within Salesforce's Agentforce initiative.
  • The position requires designing robust data integration patterns and orchestrating multi-agent systems to enable autonomous actions across business systems.
  • Candidates must ensure secure data governance while leveraging comprehensive knowledge of the LLM landscape to optimize foundational models for enterprise deployments.

Matching Summary

Match Score: 85

Salesforce is seeking an Agentic Data Specialist to connect advanced AI agents with enterprise technology, focusing on data integration and management. Candidates should have significant experience in data engineering, AI integration, and the ability to work collaboratively in a dynamic environment.

Salary

Base: CAD 154,700 to CAD 310,700 (BC); CAD 154,700 to CAD 204,700 (Ontario); Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • 5+ years data engineering or integration experience
  • Expertise in RAG, vector databases, and knowledge bases
  • Proficiency in Python, Java, or JavaScript programming
  • Deep understanding of Salesforce ecosystem and Data Cloud
  • Experience with API design (REST, SOAP, webhooks)
  • Knowledge of LLM landscape and model selection
  • Familiarity with message queues and event-driven architecture

Nice-to-have

  • Direct experience with AI or automation projects
  • Hands-on experience with MuleSoft or Dell Boomi iPaaS
  • Salesforce platform integration using Apex
  • Experience with AWS, Azure, or Google Cloud services
  • Agile development environment experience
  • Strong communication skills for cross-functional collaboration
  • Proactive approach to system optimization

Key Requirements

  • 5+ years hands-on experience in data engineering or integrations
  • Current comprehensive knowledge of LLM landscape and tooling
  • Direct experience working on AI or automation projects preferred
  • Salesforce Data Cloud certifications highly desirable
  • Ability to travel 30% of the time to customer sites

Work Rights

Not specified

Tailored Resume

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