Data & AI Architect

Salesforce
Milan
Full timeEUR 94,875 - 126,975 annuallyFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Presentation skills","Stakeholder management","Curiosity","Continuous learning"]

Act as a senior, hands-on technical advisor to help customers design, validate, and operationalize enterprise data and AI architectures centered on Salesforce D360 and Agentforce. Lead pre-sales technical designs, shape generative AI and agent interoperability best practices, and collaborate with AEs/SEs to build prototypes and demos. Support onboarding through workshops, thought leadership, and enablement while guiding secure, scalable integrations across complex enterprise ecosystems.

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FursaFursa
Salesforce
Salesforce
1 week ago

Data & AI Architect

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Act as a senior, hands-on technical advisor to help customers design, validate, and operationalize enterprise data and AI architectures centered on Salesforce D360 and Agentforce. Lead pre-sales technical designs, shape generative AI and agent interoperability best practices, and collaborate with AEs/SEs to build prototypes and demos. Support onboarding through workshops, thought leadership, and enablement while guiding secure, scalable integrations across complex enterprise ecosystems.
Location: Milan
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 with Agentforce and external agent integration.
  • •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 and enablement materials (demo templates, whitepapers, enablement sessions) focused on agent lifecycle and integration strategy.
  • •Act as a central technical knowledge resource by addressing internal technical inquiries and documenting best practices to empower specialist teams.

Pay and Benefits

Salary: EUR 94,875 - 126,975 annually

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.
  • •Experience with prompt engineering, agent lifecycle management, and hands-on prototype development.
  • •Experience with predictive and generative AI; ability to communicate value to diverse audiences.
  • •Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC).
Experience:Enterprise environmentsData engineeringAIMachine learning
Skills:CommunicationPresentation skillsStakeholder managementCuriosityContinuous learning
Languages:ItalianEnglish
Tech Stack:SalesforceAgentforceSalesforce D360Agentforce StudioAgent BuilderMCPA2AOpen standardsMuleSoftMuleSoft APIsCopilotGeminiData CloudSnowflakeDatabricksBigQueryRedshiftCDCJavaScriptPython

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