✦ Luna Orbit — Customer Success & Support

Field Service AI Technical Architect

at Salesforce

📍 2 Locations Unknown Posted March 25, 2026
Type Not Specified
Experience mid
Exp. Years Not specified
Education Bachelor's degree relevant to the role such as Industrial Engineering, Statistics, Computer Science, Mathematics, Economics, etc.
Category Customer Success & Support

Salesforce seeks a Field Service AI Technical Architect to lead the design and implementation of AI-driven solutions for field service operations, focusing on automation, optimization, and data analysis.

  • Collaborate with customers to design AI solutions
  • Develop technical requirements
  • Conduct simulation experiments
  • Assess scheduling results
  • Lead complex AI programs

The role involves leveraging AI, automation, and mathematical modeling to improve scheduling, operational efficiency, and customer engagement in field service scenarios.

The ideal candidate is an experienced professional in the field service domain with a strong background in AI, automation, and data analysis. They should possess excellent leadership and strategic thinking skills to craft scalable AI solutions for complex field service scenarios.

Experience in Field Service DomainAIAutomationData analysisCustomer engagement
Optimization techniquesMathematical modelingSimulation experimentsAI solutions design
AI toolsScheduling softwareData analysis platforms
AIautomationdigital transformationoptimizationdata analysisschedulingmathematical analysisAI toolscustomer engagementleadership
Mobile Workforce ManagementDigital TransformationAIAutomationOptimizationData AnalysisSchedulingMathematical AnalysisAI-based analysisCustomer engagement
leadershipcollaborationcommunicationproblem-solvingstrategic thinkingclient engagementinnovation

Required

Certification in Sales
Industry SaaS
Job Function Designing and implementing AI solutions for field service operations
Role Subtype Field Service AI Technical Architect
Tech Domains AI, Data Analysis, Scheduling
field serviceAIautomationdigital transformationoptimizationdata analysisschedulingmathematical analysisAI solutionscustomer engagementindustrial engineeringstatisticscomputer sciencemathematicseconomicsAI toolssimulation experimentsmathematical modelingsimulation

Lack of experience in field service domain, No AI or automation background, Unwillingness to work in multiple locations

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