Principal Data and AI Architect

Salesforce
Buenos Aires
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 7+ yearsEducation: bachelorsSkills: ["Communication","Leadership","Presentation","Problem-solving"]

Senior data and AI technical architect leading enterprise-scale data/AI architectures, pre-sales design, and integration strategy for Agentforce and D360. Working with Account Executives and Product teams to design secure, scalable solutions across hyperscalers, data lakes, and governance frameworks, while shaping best practices in generative AI, data cloud, and cross-platform integrations.

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FursaFursa
Salesforce
Salesforce
4 months ago

Principal Data and AI Architect

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Senior data and AI technical architect leading enterprise-scale data/AI architectures, pre-sales design, and integration strategy for Agentforce and D360. Working with Account Executives and Product teams to design secure, scalable solutions across hyperscalers, data lakes, and governance frameworks, while shaping best practices in generative AI, data cloud, and cross-platform integrations.
Location: Buenos Aires
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Director level

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.
Experience:7+ yearsEnterpriseAIDataAnalytics
Education:Bachelor's
Skills:CommunicationLeadershipPresentationProblem-solving
Tech Stack:PythonSQLJavaScriptSnowflakeDatabricksBigQueryRedshiftPandasJupyter

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
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