Lead Forward Deployed Engineer

Salesforce
Rome
Workplace: HybridFull timeEUR 70,425 - 94,200 annuallyFunction: Administration & Executive AssistanceExperience: 6+ yearsEducation: bachelorsSkills: ["Mentorship","Clear communication","Entrepreneurial mindset","Problem-solving","Judgment"]

Own end-to-end delivery of agentic AI solutions inside enterprise customer environments—driving architecture decisions through production handoff. You’ll design and ship multi-agent systems with deterministic guardrails on the Agentforce platform, manage data readiness across Salesforce and partner platforms, resolve deep technical blockers, and track deployment health via dashboards. Partnering with a Deployment Strategist, you’ll mentor engineers and codify reusable playbooks that shape how agentic AI scales.

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FursaFursa
Salesforce
Salesforce
2 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: 4 hours agoStatus: Live

Job Summary

Own end-to-end delivery of agentic AI solutions inside enterprise customer environments—driving architecture decisions through production handoff. You’ll design and ship multi-agent systems with deterministic guardrails on the Agentforce platform, manage data readiness across Salesforce and partner platforms, resolve deep technical blockers, and track deployment health via dashboards. Partnering with a Deployment Strategist, you’ll mentor engineers and codify reusable playbooks that shape how agentic AI scales.
Location: Rome
Workplace: Hybrid
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Lead technical delivery with end-to-end ownership of customer outcomes, from architecture decisions through production handoff.
  • •Design and ship agentic systems on the Agentforce platform, including agent logic, tool calls, multi-agent orchestration, and integration patterns for enterprise environments.
  • •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 (data integration failures, model deployment issues, orchestration breakdowns, performance regressions) and track deployment health using dashboards and customer KPIs.
  • •Mentor engineers through code reviews and pair sessions, codify reusable patterns/playbooks, and provide at-risk or strategically critical deployment technical depth.
Travel: Low travel

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.
  • •Degree in Computer Science or related field.
  • •Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex, and familiarity with the others.
  • •Integrated LLMs into production and applied responsible AI practices using frameworks like LangChain or LlamaIndex and prompt engineering.
  • •Deep experience in data modeling, processing, and analytics across platforms such as Salesforce Data 360, Snowflake, or Databricks.
Experience:6+ yearsEnterprise AICloudSaaSLLMsResponsible AI
Education:Bachelor's in Computer Science
Skills:MentorshipClear communicationEntrepreneurial mindsetProblem-solvingJudgment
Certifications:Salesforce certifications (AdministratorPlatform Developer I/IIAgentforce SpecialistSystem Architect
Languages:ItalianEnglish
Tech Stack:AgentforcePythonJavaScriptTypeScriptJavaApexCursorClaudeVibesLangChainLlamaIndexPrompt engineeringSalesforce Data 360SnowflakeDatabricksMulti-agent orchestrationDeterministic guardrailsSalesforce APIsLWCFlows

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