Principal Data and AI Architect

Salesforce
Buenos Aires
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Communication","Leadership","Presentation","Collaboration","Problem-solving"]

Senior, hands-on data and AI technical architect leading enterprise-grade architectures centered on Salesforce D360 and the Agentforce platform. Design, validate, and operationalize data/AI solutions; guide Chief Data Officers and Enterprise Architects through AI integration with hyperscalers, data lakes, and governance. Collaborate with Account Executives and Product teams to deliver scalable, secure, and high-value implementations.

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FursaFursa
Salesforce
Salesforce
4 months ago

Principal Data and AI Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Senior, hands-on data and AI technical architect leading enterprise-grade architectures centered on Salesforce D360 and the Agentforce platform. Design, validate, and operationalize data/AI solutions; guide Chief Data Officers and Enterprise Architects through AI integration with hyperscalers, data lakes, and governance. Collaborate with Account Executives and Product teams to deliver scalable, secure, and high-value implementations.
Location: Buenos Aires
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Lead pre-sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks.
  • •Shape best practices around generative AI, agent interoperability, prompt engineering, Data Cloud, and cross-platform integrations.
  • •Collaborate with AEs and SEs to build hands-on prototypes and demos using Agentforce and integrated external agents.
  • •Develop thought leadership content—demo templates, whitepapers, enablement sessions—focused on agent lifecycle, integration strategy, and technical effectiveness.
  • •Own Technical Architecture Decisions—oversee data modeling, identity resolution, real-time vs. batch patterns, data graph design, and activation strategies within D360.

Key Requirements

  • •7+ years of hands-on experience designing and delivering data, analytics, and AI architectures in enterprise environments
  • •Hands-on Salesforce Agentforce experience with D360 and core Salesforce platform services
  • •Strong understanding of external agent ecosystems and interoperability
  • •Experience in prompt engineering, agent lifecycle management, and hands-on prototype development
  • •Proficiency in programming (JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter
Experience:Enterprise softwareAICRMCloud data platforms
Education:Bachelor's
Skills:CommunicationLeadershipPresentationCollaborationProblem-solving
Languages:English
Tech Stack:SnowflakeDatabricksBigQueryRedshiftJavaScriptPythonSQLRPandasJupyterAgentforceD360CopilotMuleSoft

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