Forward Deployed Engineer - Philippines

Salesforce
Philippines
Workplace: HybridFull timeFunction: Software EngineeringSkills: ["Leadership","Collaboration","Communication","Problem-solving","Presentation"]

Deliver end-to-end technical solutions for strategic customers by designing, developing, and deploying scalable AI and LLM-based intelligent agents on the Salesforce platform. Lead hands-on coding, data modeling, integration pipelines, and root-cause debugging, while mentoring junior engineers. Partner directly with client teams to translate requirements into working solutions and rapidly prototype proofs of concept that drive measurable business impact. Serve as a trusted technical advisor and evangelize engineering best practices.

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FursaFursa
Salesforce
Salesforce
2 months ago

Forward Deployed Engineer - Philippines

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Deliver end-to-end technical solutions for strategic customers by designing, developing, and deploying scalable AI and LLM-based intelligent agents on the Salesforce platform. Lead hands-on coding, data modeling, integration pipelines, and root-cause debugging, while mentoring junior engineers. Partner directly with client teams to translate requirements into working solutions and rapidly prototype proofs of concept that drive measurable business impact. Serve as a trusted technical advisor and evangelize engineering best practices.
Location: Philippines
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Own end-to-end delivery of complex AI solutions, including writing critical code, configuring systems, troubleshooting issues, and reviewing junior engineers’ work.
  • •Design and implement scalable production systems featuring AI and LLM-based intelligent agents and automated workflows on Salesforce.
  • •Build custom intelligent agents with customers using the Agentforce platform and ensure integration with existing customer ecosystems.
  • •Lead data lifecycle ownership, including data model design, processing pipeline implementation, and integration strategies for secure AI-ready data.
  • •Conduct deep-dive debugging and root-cause analysis, and lead rapid prototyping through proofs of concept and minimum viable products.
Travel: Extensive travel

Key Requirements

  • •Experience in a hands-on, end-to-end delivery role for high-quality, scalable production solutions.
  • •Computer Science or a related engineering discipline.
  • •Expert-level proficiency in JavaScript, Java, Python, and Apex.
  • •Extensive hands-on experience building and deploying AI/LLM solutions, including LLM integration and AI orchestration frameworks (e.g., LangChain, LlamaIndex).
  • •Deep expertise in data modeling, processing, integration, and analytics using enterprise data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks, BigQuery).
Experience:AI/MLEnterprise softwareLLMSalesforce ecosystem
Education:
Skills:LeadershipCollaborationCommunicationProblem-solvingPresentation
Tech Stack:JavaScriptJavaPythonApexAILLMAgentforceLangChainLlamaIndexPrompt engineeringSalesforce platformSalesforce Data CloudSalesforce CRMSalesforce FlowsLightning Web Components (LWC)SnowflakeDatabricksBigQuery

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