Salesforce Administrator & AI Workflow Architect

EP Wealth Advisors, LLC

United States

Remote

USD 120.000 - 180.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

EP Wealth Advisors, LLC is seeking a technical professional to build, test, and support Agentforce agents, creating robust workflows and secure integrations. You will configure Data 360 access and ensure auditable controls that meet cybersecurity standards, translating business needs into reusable agent processes and measurable success metrics.

You will continuously refine agent behavior based on production results and user feedback, collaborating with product and data teams to deliver scalable

Qualifikationen

  • Experience building agent/workflow platforms.
  • Strong understanding of REST API design and security.
  • Familiarity with data governance and Data 360 tooling.
  • Ability to translate business requirements into automated workflows.

Aufgaben

  • Build, test, and support Agentforce agents with instructions, actions, decision logic, and human handoffs.
  • Develop secure integrations using REST APIs, Flow, Apex, and middleware patterns.
  • Configure Data 360, retrieval, grounding, and permissions for trusted AI access.
  • Ensure auditability, controls, and compliance with cybersecurity and risk standards.
  • Translate business requirements into reusable agent workflows and success measures.
  • Refine agent behavior based on production results and user feedback.

Kenntnisse

Agentforce
REST APIs
Flow
Apex
Middleware patterns
Data 360
Auditability & Compliance
Agent workflows
Production feedback

Tools

Salesforce

Jobbeschreibung

EP Wealth Advisors, LLC is seeking a technical professional to build, test, and support Agentforce agents, creating robust workflows and secure integrations. You will configure Data 360 access and ensure auditable controls that meet cybersecurity standards, translating business needs into reusable agent processes and measurable success metrics.

You will continuously refine agent behavior based on production results and user feedback, collaborating with product and data teams to deliver scalable

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