Agentic Data Specialist (Multiple Levels)

Salesforce
Toronto
Workplace: RemoteFull timeFunction: Data Analytics & Business IntelligenceExperience: 5+ yearsSkills: ["Communication","Problem-solving","Teamwork","Adaptability"]

This Agentic Data Specialist role designs, builds, and manages data, systems, and integrations that enable AI agents to take autonomous actions across enterprise applications. You’ll orchestrate multi-agent communications, ground AI with RAG and vector databases, define data governance, and implement secure APIs and event-driven workflows within the Salesforce ecosystem, in a remote, enterprise-facing team.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Salesforce
Salesforce
6 months ago

Agentic Data Specialist (Multiple Levels)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

This Agentic Data Specialist role designs, builds, and manages data, systems, and integrations that enable AI agents to take autonomous actions across enterprise applications. You’ll orchestrate multi-agent communications, ground AI with RAG and vector databases, define data governance, and implement secure APIs and event-driven workflows within the Salesforce ecosystem, in a remote, enterprise-facing team.
Location: Toronto
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •Design, build, and manage data and integration patterns enabling AI agents to act across enterprise systems.
  • •Define technical architecture and protocols for multi-agent communications and collaboration (Model Context Protocol, Agent-to-Agent Communication).
  • •Architect AI grounding systems (RAG, vector databases, search indexes, knowledge bases) to ground Agentforce solutions with real-time data.
  • •Ensure secure data integration, transformation (ETL/ELT), governance, and integration with Salesforce CRM and Data Cloud.
  • •Develop, deploy, and maintain APIs (REST, SOAP, webhooks) for seamless data exchange and automated workflows between Agentforce and other systems
Travel: Medium travel

Key Requirements

  • •5+ years of hands-on experience in data engineering or integrations (e.g., Data Engineer, Data Architect or Data Scientist)
  • •Proficiency in one or more programming languages (e.g., Python, Java, JavaScript)
  • •Expertise in AI data integration (RAG, vector databases, search indexes, knowledge bases) for grounding Agentforce solutions with enterprise data
  • •Deep understanding of structured and unstructured data management within Salesforce ecosystem (CRM, Data Cloud) and external systems (ETL/ELT, governance)
  • •Knowledge of LLM landscape and tooling, with focus on foundational and frontier models for enterprise AI deployment
Experience:5+ yearsAIData engineeringData integrationEnterprise data
Skills:CommunicationProblem-solvingTeamworkAdaptability
Tech Stack:PythonJavaJavaScriptJSONXMLRESTSOAPWebhooksOAuth 2.0OpenID ConnectSAMLMuleSoftDell BoomiIPaaSData governanceRAGVector databasesLLM

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor