✦ Luna Orbit — Data & Analytics

Principal Data and AI Architect

at Salesforce

📍 2 Locations Unknown Posted March 14, 2026
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

Develop innovative AI and Data Cloud solutions for Salesforce customers, leveraging Generative and Predictive AI to enhance customer experience and drive growth.

  • Create AI-driven solutions
  • Collaborate with GTM teams
  • Develop Data Cloud strategies
  • Implement predictive analytics
  • Support customer adoption

Focuses on Data Cloud platforms, AI technologies including Generative and Predictive AI, CRM integration, and solution architecture within the Salesforce ecosystem.

The ideal candidate is a mid-level data and AI architect with expertise in Salesforce Data Cloud, Generative and Predictive AI, and CRM systems. They possess strong problem-solving skills and experience developing innovative AI-driven solutions for diverse industries.

Deep technical domain expertise in CRMData + AI + TrustExperience with Data Cloud platformsKnowledge of Generative and Predictive AIAbility to develop innovative solutions for customersStrong communication skills for cross-team collaboration
Experience with GTM strategiesSolution architecture for AI and Data platformsExperience working with GTM teamsKnowledge of Salesforce ecosystem
Salesforce Data CloudAI platformsCRM systems
Data CloudAIGenerative AIPredictive AnalyticsCRMSalesforcesolution architectureGTM strategycustomer solutions
Data CloudAIGenerative AIPredictive AnalyticsCRMData + AI + CRM + Trust
communicationcollaborationproblem-solvingstrategic thinkinginnovation
Industry SaaS
Job Function Architect and deliver AI and Data Cloud solutions to enhance customer engagement and operational efficiency.
Role Subtype Data Architect
Tech Domains Salesforce Data Cloud, AI, Generative AI, Predictive Analytics, CRM
Data CloudAIGenerative AIPredictive AnalyticsCRMData + AI + CRM + TrustSalesforcesolution architectureGTM strategycustomer solutionsSalesforce ecosystem

Lack of experience with Salesforce Data Cloud, No background in AI or CRM systems, Insufficient solution architecture experience

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