Lead Forward Deployed Engineer
Salesforce1 day ago
Milan, ItalyStaff+
Responsibilities
- Own the architecture, build, deployment, and production handoff of agentic AI solutions for strategic enterprise customers.
- Design Agentforce systems with 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 agent performance dashboards and customer KPI reporting.
- Develop proofs of concept, MVPs, reusable assets, internal frameworks, and deployment playbooks.
- Mentor engineers through code reviews, pair sessions, and shared implementation work.
- Provide technical leadership on strategically critical or at-risk deployments.
- Partner with Deployment Strategists, customer architects, executives, Product, and Engineering to translate business needs into shipped solutions and 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 LangChain or LlamaIndex, and applying prompt engineering and responsible AI practices.
- Deep experience in data modeling, processing, and analytics, with proficiency in 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 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 qualifications include Salesforce certifications, familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks, multi-cloud enterprise AI architecture experience, product roadmap influence, and open-source, technical writing, or conference experience.
Benefits
- The position offers a typical base salary of EUR 70,425 to EUR 94,200 annually.
- The position may include additional benefits and an incentive component tailored by grade level.
- Travel to customer sites is required as needed to support client success.
Tech Stack
Categories
Forward Deployed
About Salesforce
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.