Lead Forward Deployed Engineer, Italian Speaking
OverviewIn this role you will own end-to-end delivery of agentic AI solutions for Salesforce's strategic customers, shaping architecture and production handoff.
You'll lead technical delivery, mentor engineers, and set engineering standards within the Agentforce framework.
You'll translate customer challenges into deployable AI solutions, influence product and roadmap, and stay at the forefront of AI tooling.
This is a hands-on, impact-driven position that combines technical depth with customer-facing collaboration.
ResponsabilitàOwn end-to-end build and deployment of agentic AI solutions from architecture decisions to production handoff
Design and ship agentic systems including multi-agent orchestration, tool calls, and deterministic guardrails
Manage data lifecycle across Salesforce Data 360, Snowflake, Databricks, and customer platforms
Resolve blockers in data integration, deployment, and performance
Build performance dashboards and KPI reporting for deployment health
Develop proofs-of-concept and MVPs with prudent deferral decisions
Create reusable assets and playbooks from real customer work
Mentor engineers through code reviews and paired work
Provide depth on critical deployments and surface field insights to Product and Engineering
Partner with Deployment Strategist to translate business challenges into deployable AI solutions
Travel ~25% to embedded customer environments
Communicate clearly with peers, architects, and executives
Contribute to agentic AI product evolution through field experiences
Requisiti fondamentali6+ years of software engineering or technical delivery in enterprise AI, cloud, or SaaS
Degree in Computer Science or related field
Expert in at least one of Python, JavaScript/TypeScript, Java, or Apex; conversant in others
Experience integrating LLMs into production and using LangChain or LlamaIndex; knowledge of prompt engineering and responsible AI in real contexts
Strong data modeling, processing, and analytics across platforms like Salesforce Data 360, Snowflake, Databricks
Deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, APIs
Entrepreneurial, fast-delivery mindset with judgment to avoid unnecessary speed
Mentored engineers and built reusable assets (frameworks, playbooks, tooling)
Clear, credible communication with engineers, customer architects, and executives
Curiosity and experimentation with evolving AI/data tools; travel readiness
Italian and English business proficiency
clear communication
mentoring and collaboration
entrepreneurial mindset
Python
JavaScript/TypeScript
Java
You'll lead technical delivery, mentor engineers, and set engineering standards within the Agentforce framework.
You'll translate customer challenges into deployable AI solutions, influence product and roadmap, and stay at the forefront of AI tooling.
This is a hands-on, impact-driven position that combines technical depth with customer-facing collaboration.
ResponsabilitàOwn end-to-end build and deployment of agentic AI solutions from architecture decisions to production handoff
Design and ship agentic systems including multi-agent orchestration, tool calls, and deterministic guardrails
Manage data lifecycle across Salesforce Data 360, Snowflake, Databricks, and customer platforms
Resolve blockers in data integration, deployment, and performance
Build performance dashboards and KPI reporting for deployment health
Develop proofs-of-concept and MVPs with prudent deferral decisions
Create reusable assets and playbooks from real customer work
Mentor engineers through code reviews and paired work
Provide depth on critical deployments and surface field insights to Product and Engineering
Partner with Deployment Strategist to translate business challenges into deployable AI solutions
Travel ~25% to embedded customer environments
Communicate clearly with peers, architects, and executives
Contribute to agentic AI product evolution through field experiences
Requisiti fondamentali6+ years of software engineering or technical delivery in enterprise AI, cloud, or SaaS
Degree in Computer Science or related field
Expert in at least one of Python, JavaScript/TypeScript, Java, or Apex; conversant in others
Experience integrating LLMs into production and using LangChain or LlamaIndex; knowledge of prompt engineering and responsible AI in real contexts
Strong data modeling, processing, and analytics across platforms like Salesforce Data 360, Snowflake, Databricks
Deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, APIs
Entrepreneurial, fast-delivery mindset with judgment to avoid unnecessary speed
Mentored engineers and built reusable assets (frameworks, playbooks, tooling)
Clear, credible communication with engineers, customer architects, and executives
Curiosity and experimentation with evolving AI/data tools; travel readiness
Italian and English business proficiency
clear communication
mentoring and collaboration
entrepreneurial mindset
Python
JavaScript/TypeScript
Java