Lead Forward Deployed Engineer

Salesforce
Milan
Workplace: OnsiteFull timeEUR 70,425 - 94,200 annuallyFunction: Administration & Executive AssistanceExperience: 6+ yearsEducation: bachelorsSkills: ["Mentorship","Clear communication","Engineering judgment","Get-things-done mindset"]

Own end-to-end delivery of agentic AI solutions for Salesforce’s most strategic enterprise customers, from architecture decisions through production handoff. Build and deploy agent systems on the Agentforce platform, integrating tool calls and multi-agent orchestration with deterministic guardrails. Manage model/data lifecycle across Salesforce Data 360, Snowflake, and Databricks, resolve integration and performance blockers, and drive adoption by surfacing field insights, mentoring engineers, and reporting on KPI outcomes.

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FursaFursa
Salesforce
Salesforce
4 days ago

Lead Forward Deployed Engineer

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

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

Job Summary

Own end-to-end delivery of agentic AI solutions for Salesforce’s most strategic enterprise customers, from architecture decisions through production handoff. Build and deploy agent systems on the Agentforce platform, integrating tool calls and multi-agent orchestration with deterministic guardrails. Manage model/data lifecycle across Salesforce Data 360, Snowflake, and Databricks, resolve integration and performance blockers, and drive adoption by surfacing field insights, mentoring engineers, and reporting on KPI outcomes.
Location: Milan
Workplace: Onsite
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, serving as the senior technical authority from architecture through production handoff.
  • •Own the end-to-end build and deployment of agentic AI solutions for strategic customers, including design and shipping of agent systems on the Agentforce platform.
  • •Own the data lifecycle for AI applications, including model design, processing pipelines, and data readiness 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 engineers through code reviews and pair sessions, and build agent performance dashboards and customer KPI reporting to track deployment health and outcomes.

Pay and Benefits

Salary: EUR 70,425 - 94,200 annually

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.
  • •A degree in Computer Science or a related field.
  • •Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex, and working knowledge of the others.
  • •Experience integrating LLMs into production using frameworks like LangChain or LlamaIndex, including prompt engineering and responsible AI practices.
  • •Deep experience in data modeling, processing, and analytics across platforms such as Salesforce Data 360, Snowflake, or Databricks.
Experience:6+ yearsEnterprise AICloudSaaS
Education:Bachelor's in Computer Science
Skills:MentorshipClear communicationEngineering judgmentGet-things-done mindset
Certifications:Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect)
Languages:ItalianEnglish
Tech Stack:PythonJavaScriptTypeScriptJavaApexCursorClaudeAgentforceLangChainLlamaIndexPrompt engineeringSalesforce Data 360SnowflakeDatabricksLWCFlowsSalesforce APIsMulti-agent orchestrationLLMs

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