Salesforce

3 weeks ago

Forward Deployed Engineer, Italian Speaking

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Lead technical delivery for complex agentic AI solutions deployed inside enterprise customer environments, owning outcomes from architecture decisions through production handoff. Partner with a Deployment Strategist to translate business challenges into shippable solutions on the Agentforce platform, including agent logic, tool calls, and orchestration. Drive the data lifecycle across Salesforce Data 360, Snowflake, and Databricks, resolve hard technical blockers, and mentor engineers while influencing product roadmaps.

Location: Milan

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Own end-to-end build and deployment of agentic AI solutions for strategic customers from architecture decisions through production handoff.
•Design and ship agentic systems on the Agentforce platform, including agent logic, tool calls, multi-agent orchestration, and enterprise integration patterns.
•Own the data lifecycle (model design, processing pipelines, and data readiness) across Salesforce Data 360, Snowflake, Databricks, and customer platforms.
•Resolve complex technical blockers across data integration, model deployment, orchestration breakdowns, and performance regressions.
•Mentor engineers through code reviews and pair sessions, and codify reusable patterns and internal frameworks from real customer work.

Travel: Medium travel

Key Requirements

•6+ years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
•Degree in Computer Science or a related field.
•Expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
•Integrated LLMs into production; used frameworks like LangChain or LlamaIndex and applied prompt engineering and responsible AI practices.
•Deep experience in data modeling, processing, and analytics across platforms like Salesforce Data 360, Snowflake, or Databricks.

Experience:6+ yearsEnterprise AICloudSaaSLLMsData platforms

Education:Bachelor's in Computer Science

Skills:MentoringClear communicationTechnical judgmentEntrepreneurial mindsetProblem-solving

Certifications:AdministratorPlatform Developer IPlatform Developer IIAgentforce SpecialistSystem Architect

Languages:ItalianEnglish

Tech Stack:AgentforceAgent logicMulti-agent orchestrationDeterministic guardrailsCursorClaudeVibesPythonJavaScriptTypeScriptJavaApexLangChainLlamaIndexPrompt engineeringResponsible AISalesforce Data 360SnowflakeDatabricksSalesforce APIs

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: 4.1

Website LinkedIn Glassdoor

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Salesforce

3 weeks ago

Forward Deployed Engineer, Italian Speaking

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: Milan

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Own end-to-end build and deployment of agentic AI solutions for strategic customers from architecture decisions through production handoff.
•Design and ship agentic systems on the Agentforce platform, including agent logic, tool calls, multi-agent orchestration, and enterprise integration patterns.
•Own the data lifecycle (model design, processing pipelines, and data readiness) across Salesforce Data 360, Snowflake, Databricks, and customer platforms.
•Resolve complex technical blockers across data integration, model deployment, orchestration breakdowns, and performance regressions.
•Mentor engineers through code reviews and pair sessions, and codify reusable patterns and internal frameworks from real customer work.

Travel: Medium travel

Key Requirements

•6+ years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
•Degree in Computer Science or a related field.
•Expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
•Integrated LLMs into production; used frameworks like LangChain or LlamaIndex and applied prompt engineering and responsible AI practices.
•Deep experience in data modeling, processing, and analytics across platforms like Salesforce Data 360, Snowflake, or Databricks.

Experience:6+ yearsEnterprise AICloudSaaSLLMsData platforms

Education:Bachelor's in Computer Science

Skills:MentoringClear communicationTechnical judgmentEntrepreneurial mindsetProblem-solving

Certifications:AdministratorPlatform Developer IPlatform Developer IIAgentforce SpecialistSystem Architect

Languages:ItalianEnglish

Company Brief

Salesforce

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: 4.1

Website LinkedIn Glassdoor