Lead Forward Deployed Engineer
Salesforce1 day ago
Rome, ItalyStaff+
Responsibilities
- Own the architecture, end-to-end build, deployment, and production handoff of agentic AI solutions for strategic enterprise customers.
- Design Agentforce agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and enterprise integration patterns.
- Own data modeling, processing pipelines, data readiness, and analytics across Salesforce Data 360, Snowflake, Databricks, and customer platforms.
- Resolve complex data integration, model deployment, orchestration, performance, and deployment blockers.
- Build agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.
- Develop proofs of concept and MVPs while making appropriate technical tradeoffs.
- Create reusable assets, frameworks, internal tooling, and playbooks based on customer delivery experience.
- Mentor engineers through code reviews, pair sessions, and shared implementation work.
- Provide technical leadership on at-risk or strategically critical customer deployments.
- Partner with Deployment Strategists and customer stakeholders to translate business challenges into shippable agentic solutions.
- Share field insights and edge cases with Product and Engineering to influence the Agentforce roadmap.
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.
- Computer Science or related degree.
- 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, including proficiency with Salesforce Data 360, Snowflake, or Databricks.
- Deep Salesforce platform expertise with Agentforce, Apex, LWC, Flows, and Salesforce APIs.
- Experience mentoring technical talent and creating reusable frameworks, playbooks, or internal tooling.
- Clear communication with engineering peers, customer architects, and executive stakeholders.
- Business-level proficiency in Italian and English.
- Ability to travel to customer sites as needed.
- Preferred: Salesforce certifications such as Administrator, Platform Developer I/II, Agentforce Specialist, or System Architect.
- Preferred: familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks.
- Preferred: experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers.
- Preferred: experience influencing enterprise software product roadmaps through field engineering insight.
- Preferred: open-source contributions, published technical writing, or conference presentations.
Benefits
- Salesforce provides benefits and resources intended to support balance and employee well-being.
- The position is based in Italy and may require travel to customer sites as needed.
- The role offers a typical base salary range of EUR 70,425 to EUR 94,200 annually, plus potential incentive compensation tailored by grade level.
- Reasonable accommodations are available during the application and recruiting process.
Tech Stack
Categories
Forward Deployed
About Salesforce
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