Lead AI Forward Deployed Engineer, Italian Speaking
17 ore fa
varese, lombardy, Italia
Salesforce
Tempo pieno
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Overview
In this Senior Forward Deployed Engineer role, you own end-to-end delivery of agentic AI solutions for Salesforce’s strategic customers, guiding architecture to production handoff. You act as the technical authority, partner with a Deployment Strategist, and mentor other engineers while driving high engineering standards. You’ll shape product evolution by surfacing field insights and piloting emerging AI tools in enterprise environments. This role combines hands-on engineering, customer impact, and leadership to advance the Agentforce platform.
Retribuzione / Benefits base salary
incentive component
opportunities to work with AI tools at scale
Responsabilità Own end-to-end build and deployment of agentic AI solutions for strategic customers, from architecture decisions to production handoff
Design and ship agentic systems on the Agentforce platform, including multi-agent orchestration and integration patterns
Manage data lifecycle across Salesforce Data 360, Snowflake, Databricks, and customer platforms
Resolve blockers in data integration, model deployment, and orchestration
Build and maintain agent performance dashboards and customer KPI reporting
Develop proofs-of-concept and MVPs with prudent decision-making
Mentor engineers through code reviews and paired sessions
Provide technical depth on deployments when senior judgment is required
Surface field insights to Product and Engineering to influence roadmaps
Partner with Deployment Strategist to translate business challenges into deployable AI solutions
Requisiti fondamentali ≥6 years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS
Degree in Computer Science or related field
Proficiency in at least one of Python, JavaScript/TypeScript, Java, or Apex; conversant in the others
Experience integrating LLMs into production and using frameworks like LangChain or LlamaIndex; proficient in prompt engineering and responsible AI in real contexts
Deep experience in data modeling, processing, and analytics with platforms such as Salesforce Data 360, Snowflake, or Databricks
Strong Salesforce platform expertise: Agentforce, Apex, LWC, Flows, Salesforce APIs
Entrepreneurial, fast-delivery mindset with judgment on when speed is appropriate
Mentoring experience and ability to create reusable assets and playbooks
Clear, credible communication with engineering peers, customer architects, and executives
Willingness to travel to customer sites as needed
Business-level proficiency in Italian and English
Clear communication
Mentorship and leadership
Problem-solving under complex constraints
Python
JavaScript/TypeScript
Java
In this Senior Forward Deployed Engineer role, you own end-to-end delivery of agentic AI solutions for Salesforce’s strategic customers, guiding architecture to production handoff. You act as the technical authority, partner with a Deployment Strategist, and mentor other engineers while driving high engineering standards. You’ll shape product evolution by surfacing field insights and piloting emerging AI tools in enterprise environments. This role combines hands-on engineering, customer impact, and leadership to advance the Agentforce platform.
Retribuzione / Benefits base salary
incentive component
opportunities to work with AI tools at scale
Responsabilità Own end-to-end build and deployment of agentic AI solutions for strategic customers, from architecture decisions to production handoff
Design and ship agentic systems on the Agentforce platform, including multi-agent orchestration and integration patterns
Manage data lifecycle across Salesforce Data 360, Snowflake, Databricks, and customer platforms
Resolve blockers in data integration, model deployment, and orchestration
Build and maintain agent performance dashboards and customer KPI reporting
Develop proofs-of-concept and MVPs with prudent decision-making
Mentor engineers through code reviews and paired sessions
Provide technical depth on deployments when senior judgment is required
Surface field insights to Product and Engineering to influence roadmaps
Partner with Deployment Strategist to translate business challenges into deployable AI solutions
Requisiti fondamentali ≥6 years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS
Degree in Computer Science or related field
Proficiency in at least one of Python, JavaScript/TypeScript, Java, or Apex; conversant in the others
Experience integrating LLMs into production and using frameworks like LangChain or LlamaIndex; proficient in prompt engineering and responsible AI in real contexts
Deep experience in data modeling, processing, and analytics with platforms such as Salesforce Data 360, Snowflake, or Databricks
Strong Salesforce platform expertise: Agentforce, Apex, LWC, Flows, Salesforce APIs
Entrepreneurial, fast-delivery mindset with judgment on when speed is appropriate
Mentoring experience and ability to create reusable assets and playbooks
Clear, credible communication with engineering peers, customer architects, and executives
Willingness to travel to customer sites as needed
Business-level proficiency in Italian and English
Clear communication
Mentorship and leadership
Problem-solving under complex constraints
Python
JavaScript/TypeScript
Java