Principle AI Architect

Salesforce
Madrid, Barcelona
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 7+ yearsSkills: ["Communication","Presentation skills","Stakeholder management","Curiosity","Continuous learning"]

Design and operationalize enterprise data and AI architectures centered on Salesforce D360 and the Agentforce platform for customers. Lead pre-sales technical design, shape best practices for generative AI and agent interoperability, and co-create demos and prototypes with AEs and SEs. Serve as a technical knowledge resource, covering prompt engineering, data governance, and integrations across platforms, hyperscalers, data lakes, and MuleSoft APIs.

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FursaFursa
Salesforce
Salesforce
4 days ago

Principle AI Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Design and operationalize enterprise data and AI architectures centered on Salesforce D360 and the Agentforce platform for customers. Lead pre-sales technical design, shape best practices for generative AI and agent interoperability, and co-create demos and prototypes with AEs and SEs. Serve as a technical knowledge resource, covering prompt engineering, data governance, and integrations across platforms, hyperscalers, data lakes, and MuleSoft APIs.
Location: Madrid, Barcelona
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead pre-sales technical design by analyzing customer needs and recommending solutions aligned to Agentforce capabilities and integrations.
  • •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 technical thought leadership and enablement materials (demo templates, whitepapers, enablement sessions) focused on agent lifecycle and integration strategy.
  • •Advise on data and integration architectures, including cohesive architectures across Data Cloud (D360), CRM, MuleSoft APIs, and external agent endpoints aligned with governance policies.

Key Requirements

  • •7+ years of hands-on experience designing and delivering data, analytics, and AI architectures in enterprise environments.
  • •Strong understanding of external agent ecosystems and interoperability for integrating external agents into Agentforce via open standards.
  • •Experience with prompt engineering, agent lifecycle management, and hands-on prototype development.
  • •Deep expertise in modern cloud data platforms and data ingestion patterns (batch, streaming, CDC).
  • •Proficiency in programming (JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter.
Experience:7+ yearsEnterprise environmentsAIData engineeringData analyticsSalesforceHyperscalers
Skills:CommunicationPresentation skillsStakeholder managementCuriosityContinuous learning
Languages:SpanishEnglish
Tech Stack:SalesforceAgentforceSalesforce D360Agentforce StudioAgent BuilderMCPA2ACopilotGeminiMuleSoftAPIsData CloudSnowflakeDatabricksBigQueryRedshiftPandasJupyterJavaScriptPython

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