Lead AI Forward Deployed Engineer
Overview In this role, you lead end-to-end delivery of agentic AI solutions for Salesforce’s strategic customers, shaping architecture and production handoff. You work with a Deployment Strategist to ensure high engineering standards and real customer impact. You will pilot new AI tools, mentor others, and translate field insights into product improvements. This is a chance to influence enterprise AI deployments at scale and contribute to Agentforce’s evolution. Retribuzione / Benefits
* incentive component tailored by grade level
* benefits and resources supporting work-life balance
* career growth opportunities
* access to AI tools to accelerate impact 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 (agent logic, tool calls, multi-agent orchestration, guardrails)
* Manage data lifecycle and model readiness across Salesforce Data 360, Snowflake, Databricks, and customer platforms
* Resolve blockers in data integration, model deployment, and orchestration to maintain deployment health
* Build and maintain agent performance dashboards and KPI reporting for customer success
* Develop proofs-of-concept and MVPs while making clear deferral vs. correctness decisions
* Codify learnings into reusable patterns, assets, and playbooks for the org
* Mentor engineers through code reviews and paired sessions and share technical depth on critical deployments
* Surface field insights to Product and Engineering to influence the Agentforce roadmap
* Collaborate with Deployment Strategist to translate customer challenges into shippable AI solutions Requisiti fondamentali
* 6+ years of software engineering or technical delivery with end-to-end ownership of scalable production systems
* 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 such as Salesforce Data 360, Snowflake, Databricks
* Strong Salesforce platform knowledge: Agentforce, Apex, LWC, Flows, and APIs
* Entrepreneurial, delivery-focused mindset with judgment on when to move fast
* Mentored technical talent and created reusable assets
* Excellent communication with engineers, architects, and executives
* Willingness to travel to customer sites; business proficiency in Italian and English
* CS degree or related field
* Clear and credible communication
* Mentorship and teamwork
* Curiosity and willingness to experiment with new tools
* Python
* JavaScript/TypeScript
* Java
* incentive component tailored by grade level
* benefits and resources supporting work-life balance
* career growth opportunities
* access to AI tools to accelerate impact 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 (agent logic, tool calls, multi-agent orchestration, guardrails)
* Manage data lifecycle and model readiness across Salesforce Data 360, Snowflake, Databricks, and customer platforms
* Resolve blockers in data integration, model deployment, and orchestration to maintain deployment health
* Build and maintain agent performance dashboards and KPI reporting for customer success
* Develop proofs-of-concept and MVPs while making clear deferral vs. correctness decisions
* Codify learnings into reusable patterns, assets, and playbooks for the org
* Mentor engineers through code reviews and paired sessions and share technical depth on critical deployments
* Surface field insights to Product and Engineering to influence the Agentforce roadmap
* Collaborate with Deployment Strategist to translate customer challenges into shippable AI solutions Requisiti fondamentali
* 6+ years of software engineering or technical delivery with end-to-end ownership of scalable production systems
* 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 such as Salesforce Data 360, Snowflake, Databricks
* Strong Salesforce platform knowledge: Agentforce, Apex, LWC, Flows, and APIs
* Entrepreneurial, delivery-focused mindset with judgment on when to move fast
* Mentored technical talent and created reusable assets
* Excellent communication with engineers, architects, and executives
* Willingness to travel to customer sites; business proficiency in Italian and English
* CS degree or related field
* Clear and credible communication
* Mentorship and teamwork
* Curiosity and willingness to experiment with new tools
* Python
* JavaScript/TypeScript
* Java