27 set - Monza
Salesforce
As a Forward Deployed Engineer, you’ll own the end-to-end delivery of agentic AI solutions for Salesforce’s strategic customers. You will work closely with a Deployment Strategist to shape architecture, productionize AI systems, and set engineering standards. You’ll influence product direction by surfacing field insights and pilot new AI tools, while mentoring peers and maintaining high-quality code. This role blends hands-on implementation with strategic impact in an enterprise AI context.Own end-to-end build and deployment of agentic AI solutions from architecture decisions to production handoffDesign and ship agentic systems on the Agentforce platform (agent logic, tool calls, multi-agent orchestration, guardrails)Manage data lifecycle for AI apps across Salesforce Data 360, Snowflake, DatabricksResolve technical blockers in data integration, deployment,
or orchestrationBuild and maintain agent performance dashboards and KPI reportingDevelop proofs-of-concept and MVPs with pragmatic decision-makingCodify learnings into reusable playbooks and assets for the orgMentor engineers via code reviews and paired sessionsProvide technical depth on critical deployments and surface field insights to Product and EngineeringPartner with Deployment Strategist to translate client challenges into deployable AI solutionsTravel to customer sites as neededCommunicate clearly with engineers, customer architects, and executives3+ years of software engineering or technical delivery in enterprise AI, cloud, or SaaSDegree in Computer Science or related fieldExperience integrating LLMs into production and familiarity with LangChain or LlamaIndexDeep experience in data modeling, processing, and analytics across platforms like Salesforce xysqume Data 360, Snowflake, DatabricksStrong Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and APIsEntrepreneurial, results-focused mindset with ability to balance speed and qualityMentored technical talent and created reusable assets or playbooksExcellent communication with engineering peers, customer architects, and executivesWillingness to travel and work in Italian and English at business levelCuriosity about evolving AI/data landscape and willingness to pilot new toolsclear communicationPythonJava#J-18808-Ljbffr
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