Salesforce

Senior Forward Deployed Engineer, Italian Speaking

Salesforce
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4 hours ago
Rome, ItalySenior

Responsibilities

  • Own architecture, development, deployment, and production handoff of agentic AI solutions for strategic enterprise customers.
  • Design and ship Agentforce systems involving agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and enterprise integration patterns.
  • Own data modeling, processing pipelines, and data readiness across Salesforce Data 360, Snowflake, Databricks, and customer platforms.
  • Resolve complex data integration, model deployment, orchestration, and performance issues.
  • Build and maintain agent performance dashboards and customer KPI reporting.
  • Develop proofs of concept and MVPs and make appropriate architectural tradeoffs for rapid delivery.
  • Create reusable assets, internal frameworks, reference implementations, and playbooks from customer engagements.
  • Mentor engineers through code reviews, pair sessions, shared development, and technical guidance.
  • Provide senior technical leadership on strategically critical or at-risk deployments.
  • Share field insights and product gaps with Salesforce Product and Engineering teams.
  • Partner with Deployment Strategists to translate customer challenges into deployable agentic solutions.
  • Travel to customer sites as needed to support client success.

Requirements

  • 4+ 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.
  • Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex, with familiarity with the others.
  • Production experience integrating LLMs, using frameworks such as LangChain or LlamaIndex, and applying prompt engineering and responsible AI practices.
  • Deep experience in data modeling, processing, and analytics, with proficiency in platforms such as Salesforce Data 360, Snowflake, or Databricks.
  • Deep Salesforce platform expertise, including Agentforce, Apex, LWC, Flows, and Salesforce APIs.
  • Experience mentoring technical talent and creating reusable frameworks, playbooks, or internal tooling.
  • Clear and credible communication with engineering peers, customer architects, and executive stakeholders.
  • Business-level proficiency in Italian and English.
  • Salesforce certifications such as Administrator, Platform Developer I/II, Agentforce Specialist, or System Architect are preferred.
  • Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks is preferred.
  • Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers is preferred.
  • Experience influencing enterprise software product roadmaps through field engineering insight is preferred.
  • Open-source contributions, published technical writing, or conference presentations are preferred.

Benefits

  • Salesforce provides benefits and resources intended to support balance and employee well-being.
  • The position may include an incentive component tailored by grade level in addition to base salary.
  • Travel to customer sites may be required as needed for client success.
  • Salesforce provides reasonable accommodations during the application and recruiting process.

Tech Stack

Categories

Forward Deployed
Salesforce

About Salesforce

10,000+ employees

Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.

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