Lead Forward Deployed Engineer, Italian Speaking
On-siteMilan, Lombardy, Italy or Rome, Lazio, Italy
Job Summary
Lead end-to-end build and deployment of agentic AI solutions for Salesforce's strategic customers, owning architecture decisions from design through production handoff. Design and ship systems on the Agentforce platform, including agent logic, multi-agent orchestration, and deterministic guardrails, while managing the full data lifecycle across Salesforce Data 360, Snowflake, and Databricks. Resolve complex technical blockers such as model deployment issues and performance regressions, and build dashboards to track deployment health and business outcomes. Mentor engineers through code reviews and pair sessions, codify reusable frameworks and playbooks, and surface field insights directly to Product and Engineering to influence the roadmap. Partner with a Deployment Strategist to translate customer challenges into shippable solutions, requiring 6+ years of experience, a CS degree, and business-level Italian proficiency.
Required Qualifications
- 6+ years of software engineering or technical delivery experience
- proven 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
- conversant in the others
- integrated LLMs into production
- used frameworks like LangChain or LlamaIndex
- applied prompt engineering and responsible AI practices in real customer contexts
- deep experience in data modeling, processing, and analytics
- demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks
- deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs
- entrepreneurial, get-things-done mindset focused on fast, impactful delivery
- judgment to know when 'fast' is the wrong call
- mentored technical talent
- created reusable assets — frameworks, playbooks, internal tooling
- communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders
- actively tinker with the evolving AI/data landscape
- piloting new tools
- experimenting with new models
- staying genuinely curious about what's coming next
- Ability to travel to customer sites as needed to ensure client success
- Business level proficiency in Italian and English
Desired Qualifications
- Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect)
- Familiarity with DevOps/CI-CD practices
- observability tooling
- data governance frameworks
- Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers
- Track record of influencing enterprise software product roadmaps through field engineering insight
- Open-source contributions
- published technical writing
- conference presentations
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