OverviewIn this role you drive end-to-end delivery of agentic AI solutions for Salesforce's strategic customers, working closely with Deployment Strategists.
You set technical standards, mentor engineers, and shape how agentic AI is deployed at scale.
You'll design and ship systems on the Agentforce platform, own data workflows, and resolve complex production blockers.
This is a hands-on, high-impact engineering role in a fast-evolving AI product area.
ResponsabilitàOwn end-to-end build and deployment of agentic AI solutions for strategic customers, from architecture to production handoff
Design and ship agentic systems on the Agentforce platform, including multi-agent orchestration and integration patterns
Own data lifecycle design, processing pipelines, and data readiness across Salesforce Data 360, Snowflake, and Databricks
Resolve blockers in data integration, model deployment, and orchestration to maintain deployment health
Build and maintain agent performance dashboards and KPI reporting across engagements
Develop proofs-of-concept and MVPs with strategic judgment on what to ship first
Mentor engineers through code reviews and shared work, influencing others within codebases
Provide technical depth on critical deployments and surface field insights to Product and Engineering




Partner with Deployment Strategist to translate customer challenges into actionable agentic solutions
Surface field insights to inform the Agentforce roadmap
Requisiti fondamentali6+ years of software engineering or technical delivery in enterprise AI, cloud, or SaaS environments
Degree in Computer Science or related field
Proficiency in at least one: Python, JavaScript/TypeScript, Java, or Apex; conversant in others
Experience integrating LLMs into production and using frameworks like LangChain or LlamaIndex
Deep experience in data modeling, processing, and analytics across platforms like Salesforce Data 360, Snowflake, or Databricks
Strong Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs
Entrepreneurial, fast-delivery mindset with judgment to balance speed and quality
Mentored technical talent and created reusable assets; strong communication with engineers, architects, and executives
Willingness to travel ~25% and work embedded with customer engineers
Business-level proficiency in Italian and English
Nice-to-haves: Salesforce certifications, DevOps/CI-CD familiarity, multi-cloud enterprise AI experience, open-source contributions
Mentoring and coaching
Clear and credible communication with diverse stakeholders
Customer-centric problem solving
Python
JavaScript/TypeScript
Java

📌 Lead Forward Deployed Engineer, Italian Speaking (Monza)
🏢 Salesforce
📍 Monza