Salesforce

2 weeks ago

Senior 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: 1 hour agoStatus: Live

Job Summary

Own end-to-end delivery of agentic AI solutions inside enterprise customer environments, from architecture decisions through production handoff. Partner with a Deployment Strategist to translate business challenges into shipped outcomes, build Agentforce agent systems (orchestration, guardrails, integrations), and manage the data lifecycle across Salesforce Data 360, Snowflake, and Databricks. Serve as senior technical authority, mentor engineers, codify reusable playbooks, and resolve hard technical blockers.

Location: Milan

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Mid level

Key Responsibilities

•Partner with a Deployment Strategist to own customer outcomes end-to-end and set the engineering standards for deploying agentic AI at scale.
•Design and ship agentic systems on the Agentforce platform, including agent logic, tool calls, multi-agent orchestration, guardrails, and enterprise integration patterns.
•Own the data lifecycle (model design, processing pipelines, and data readiness) for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer platforms.
•Resolve complex technical blockers such as data integration failures, model deployment issues, orchestration breakdowns, and performance regressions.
•Mentor other engineers through code reviews and pair sessions, and codify reusable assets and internal playbooks from real customer work.

Key Requirements

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

Experience:6+ yearsEnterprise AICloudSaaSLLMData analyticsSalesforce

Education:Bachelor's in Computer Science

Skills:MentoringTechnical communicationEntrepreneurial mindsetProblem-solvingJudgment

Certifications:Salesforce AdministratorPlatform Developer IPlatform Developer IIAgentforce SpecialistSystem Architect

Languages:ItalianEnglish

Tech Stack:PythonJavaScriptTypeScriptJavaApexAgentforceLWCFlowsSalesforce APIsLLMsLangChainLlamaIndexCursorClaudeSalesforce Data 360SnowflakeDatabricksAI toolsPrompt engineeringData modeling

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

2 weeks ago

Senior 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: 1 hour agoStatus: Live

Job Summary

Location: Milan

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Mid level

Key Responsibilities

•Partner with a Deployment Strategist to own customer outcomes end-to-end and set the engineering standards for deploying agentic AI at scale.
•Design and ship agentic systems on the Agentforce platform, including agent logic, tool calls, multi-agent orchestration, guardrails, and enterprise integration patterns.
•Own the data lifecycle (model design, processing pipelines, and data readiness) for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer platforms.
•Resolve complex technical blockers such as data integration failures, model deployment issues, orchestration breakdowns, and performance regressions.
•Mentor other engineers through code reviews and pair sessions, and codify reusable assets and internal playbooks from real customer work.

Key Requirements

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

Experience:6+ yearsEnterprise AICloudSaaSLLMData analyticsSalesforce

Education:Bachelor's in Computer Science

Skills:MentoringTechnical communicationEntrepreneurial mindsetProblem-solvingJudgment

Certifications:Salesforce AdministratorPlatform Developer IPlatform Developer IIAgentforce SpecialistSystem Architect

Languages:ItalianEnglish

Tech Stack:PythonJavaScriptTypeScriptJavaApexAgentforceLWCFlowsSalesforce APIsLLMsLangChainLlamaIndexCursorClaudeSalesforce Data 360SnowflakeDatabricksAI toolsPrompt engineeringData modeling

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