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Amsterdam
14 May 2026
Principal Data and AI Architect logo

Principal Data and AI Architect

Salesforce

Amsterdam
14 May 2026
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Principal Data and AI Architect

Salesforce seeks a Principal AI + Data Architect for its Agentforce and AI Ecosystem team. This hands-on, pre-sales role designs enterprise-grade AI and data architectures integrating Salesforce Data Cloud and the Agentforce platform. The ideal candidate has deep expertise in data engineering, AI/ML, and external agent interoperability.

HybridFull-timePrincipalSalesforce AgentforceData Cloud

Principal Data and AI Architect

Salesforce seeks a Principal AI + Data Architect for its Agentforce and AI Ecosystem team. This hands-on, pre-sales role designs enterprise-grade AI and data architectures integrating Salesforce Data Cloud and the Agentforce platform. The ideal candidate has deep expertise in data engineering, AI/ML, and external agent interoperability.

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HybridFull-timePrincipalSalesforce Agentforce

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

7 years

Employment Type

Full-time

Experience Level

Principal

Core Qualifications

Technical (Must-have)
Salesforce AgentforceData CloudD360JavaScriptPythonSQLRSnowflakeDatabricksBigQuery
Soft Skills
communicationcuriositycontinuous learningstakeholder managementpresentation skills
Tools (Must-have)
SalesforceMuleSoft

Preferred Qualifications

Technical (Nice-to-have)
MCPA2ATensorFlowPyTorchGoogle Vertex AIAWS SagemakerpandasJupyter

Key Responsibilities

  • •Lead pre-sales technical design and recommend solutions aligned with Agentforce capabilities.
  • •Shape best practices around generative AI, agent interoperability, prompt engineering, and Data 360.
  • •Build hands-on prototypes and demos using Agentforce and integrated external agents.
  • •Develop thought leadership content focused on agent lifecycle and integration strategy.
  • •Act as a central technical knowledge resource and document best practices.
  • •Map and integrate external agents from hyperscalers into Agentforce via open standards.
  • •Enable conversational and background agents using Agentforce Studio and Agent Builder.
  • •Drive prompt engineering and define agent lifecycle best practices.
  • •Lead pre-sales workshops and facilitate whiteboarding sessions.
  • •Advise on data and integration aligning with compliance and governance policies.
AIDataArchitectSalesforceAgentforcePre-SalesHybridAmsterdamPrincipalCloud
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