Forward Deployment Engineer

Salesforce
Singapore
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["Get-things-done attitude","Collaboration","Communication","Presentation","Technical leadership"]

Deliver end-to-end technical deployments of production AI solutions for strategic customers, including hands-on coding, system configuration, troubleshooting, and technical leadership over junior teammates. Design and implement scalable AI/LLM agent workflows on the Salesforce platform (Agentforce), build and integrate data pipelines and models across enterprise environments, and conduct deep-dive debugging and root-cause analysis. Prototype quickly, enforce engineering best practices, and serve as a trusted technical advisor to clients.

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FursaFursa
Salesforce
Salesforce
1 day ago

Forward Deployment Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 minutes agoStatus: Live

Job Summary

Deliver end-to-end technical deployments of production AI solutions for strategic customers, including hands-on coding, system configuration, troubleshooting, and technical leadership over junior teammates. Design and implement scalable AI/LLM agent workflows on the Salesforce platform (Agentforce), build and integrate data pipelines and models across enterprise environments, and conduct deep-dive debugging and root-cause analysis. Prototype quickly, enforce engineering best practices, and serve as a trusted technical advisor to clients.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Own end-to-end technical delivery of complex AI solutions, writing critical code, configuring systems, troubleshooting issues, and guiding junior team members.
  • •Design, develop, and implement scalable production systems, including AI and LLM-based intelligent agents and automated workflows on the Salesforce platform.
  • •Work with customers to design and build bespoke intelligent agents on Agentforce, integrating them with existing customer ecosystems.
  • •Own the full data lifecycle, from data model design to building processing pipelines and integration strategies for secure, optimized AI readiness.
  • •Identify and resolve complex technical blockers through deep-dive debugging, root-cause analysis, and rapid prototyping/iteration.
Travel: Extensive travel

Key Requirements

  • •Hands-on, end-to-end delivery experience building high-quality, scalable production solutions in a professional environment.
  • •Computer Science or a related engineering discipline.
  • •Expert proficiency in JavaScript, Java, Python, and Apex.
  • •Extensive experience building and deploying AI/LLM solutions, including LLM integration, AI orchestration frameworks (e.g., LangChain, LlamaIndex), and prompt engineering.
  • •Deep expertise in data modeling, processing, integration, and analytics, with experience on enterprise data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks, BigQuery).
Experience:AI/LLMSalesforceEnterprise data
Education:
Skills:Get-things-done attitudeCollaborationCommunicationPresentationTechnical leadership
Certifications:Platform Developer IIApplication ArchitectSystem Architect
Tech Stack:JavaScriptJavaPythonApexAILLMLangChainLlamaIndexPrompt engineeringAgentforceSalesforce platformSalesforce Data CloudSnowflakeDatabricksBigQuerySalesforce FlowsLightning Web Components (LWC)

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor