Lead Forward Deployed Engineer - Spanish Speaker - Salesforce
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+8 more
Job description
OverviewA continuación, encontrará un desglose completo de todo lo que se requiere de los posibles candidatos, asà como la forma de presentar su candidatura.¡Mucha suerte!As a Senior Forward Deployed Engineer, you will own end-to-end delivery of agentic AI solutions for Salesforce’s strategic customers, guiding architecture to production handoff.You’ll mentor engineers, set standards, and partner with a Deployment Strategist to translate customer needs into ship-ready AI systems.You will design agentic platforms, manage data pipelines, and drive measurable outcomes with enterprise-grade reliability.This role combines hands-on building with strategic influence in a fast-evolving AI space.ResponsabilidadesOwn 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 and readiness across Salesforce Data 360, Snowflake, DatabricksResolve blockers in data integration, deployment, and orchestration to maintain performanceBuild and maintain agent performance dashboards and KPI reporting across engagementsDevelop proofs-of-concept and MVPs with judicious decision-makingCodify learnings into reusable patterns and playbooks for the orgMentor engineers through code reviews and pairing, influencing multiple codebasesSurface field insights to Product and Engineering to shape the Agentforce roadmapPartner with Deployment Strategist to translate customer challenges into deliverable solutionsRequisitos principales6+ years of software engineering or technical delivery in enterprise AI, cloud, or SaaSDegree in Computer Science or related fieldExpertise in at least one of Python, JavaScript/TypeScript, Java, or Apex; familiarity with othersExperience integrating LLMs into production; use of LangChain or LlamaIndex; experience with prompt engineering and responsible AI in customer contextsDeep experience in data modeling, processing, and xqysrnh analytics; proficiency with Salesforce Data 360, Snowflake, DatabricksStrong Salesforce platform expertise: Agentforce, Apex, LWC, Flows, Salesforce APIsEntrepreneurial, fast-delivery mindset with good judgment on when to optimize for speedMentored technical talent and created reusable assets (frameworks, playbooks, tooling)Clear, credible communication with engineers, architects, and executivesWillingness to travel ~25% and fluency in Spanish and English; Catalan is a plusclear communicationmentorshipcross-functional collaborationPythonJavaScript/TypeScriptJava
Requirements
This role combines hands-on building with strategic influence in a fast-evolving AI space.ResponsabilidadesOwn 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 and readiness across Salesforce Data 360, Snowflake, DatabricksResolve blockers in data integration, deployment, and orchestration to maintain performanceBuild and maintain agent performance dashboards and KPI reporting across engagementsDevelop proofs-of-concept and MVPs with judicious decision-makingCodify learnings into reusable patterns and playbooks for the orgMentor engineers through code reviews and pairing, influencing multiple codebasesSurface field insights to Product and Engineering to shape the Agentforce roadmapPartner with Deployment Strategist to translate customer challenges into deliverable solutionsRequisitos principales6+ years of software engineering or technical delivery in enterprise AI, cloud, or SaaSDegree in Computer Science or related fieldExpertise in at least one of Python, JavaScript/TypeScript, Java, or Apex; familiarity with othersExperience integrating LLMs into production; use of LangChain or LlamaIndex; experience with prompt engineering and responsible AI in customer contextsDeep experience in data modeling, processing, and xqysrnh analytics; proficiency with Salesforce Data 360, Snowflake, DatabricksStrong Salesforce platform expertise: Agentforce, Apex, LWC, Flows, Salesforce APIsEntrepreneurial, fast-delivery mindset with good judgment on when to optimize for speedMentored technical talent and created reusable assets (frameworks, playbooks, tooling)Clear, credible communication with engineers, architects, and executivesWillingness to travel ~25% and fluency in Spanish and English; Catalan is a plusclear communicationmentorshipcross-functional
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Loading talks and stories from around this role…