Forward Deployed Engineer (FDE) — Agentforce Orchestration

Salesforce
Atlanta, Chicago, New York, Seattle, Bellevue, Dallas, Denver, Indianapolis, Austin, San Francisco
Workplace: OnsiteFull timeUSD 88,970 - 287,910 annuallyFunction: Software EngineeringExperience: 3+ yearsSkills: ["Executive presence","Whiteboarding architecture","Process orchestration"]

Design and deploy enterprise-grade agentic AI solutions in customer environments as a Forward Deployed Engineer for Agentforce Operations. Build multi-agent orchestration workflows, implement agent communication protocols (including MCP), and architect real-time data grounding using RAG, vector search, and knowledge bases. Develop APIs and integration pipelines connecting Agentforce to data platforms and core ERPs, ship ETL/ELT and observability dashboards, and translate field learnings into product feedback.

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FursaFursa
Salesforce
Salesforce
2 days ago

Forward Deployed Engineer (FDE) — Agentforce Orchestration

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Design and deploy enterprise-grade agentic AI solutions in customer environments as a Forward Deployed Engineer for Agentforce Operations. Build multi-agent orchestration workflows, implement agent communication protocols (including MCP), and architect real-time data grounding using RAG, vector search, and knowledge bases. Develop APIs and integration pipelines connecting Agentforce to data platforms and core ERPs, ship ETL/ELT and observability dashboards, and translate field learnings into product feedback.
Location: Atlanta, Chicago, New York, Seattle, Bellevue, Dallas, Denver, Indianapolis, Austin, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Build and optimize workflow and multi-agent orchestration using AFO, including defining agent reasoning, tool-calling logic, and conditional execution loops.
  • •Implement modern agent communication standards and Model Context Protocol (MCP) for context sharing, task hand-offs, and tool execution across specialized agents.
  • •Architect and maintain real-time enterprise AI grounding systems using RAG, vector search, and knowledge bases to enable autonomous execution.
  • •Develop and maintain integration pipelines and custom APIs (REST/GraphQL/webhooks) connecting AFO/Agentforce to Salesforce Data Cloud and enterprise data/ERP systems via MuleSoft or custom middleware.
  • •Model and ship ETL/ELT pipelines, build telemetry/observability dashboards for agent performance and fallback triggers, and feed frontline deployment learnings back into platform roadmaps.
Travel: Medium travel

Pay and Benefits

Salary: USD 88,970 - 287,910 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionPaid ParentalLife InsuranceDisability Insurance401kEquityTime Off

Key Requirements

  • •3+ years of software engineering or technical delivery experience with at least one production AI, data engineering, or enterprise integration system deployed to production.
  • •High proficiency in at least one modern language: Python, JavaScript/TypeScript, Java, or Apex.
  • •Deep experience with LLM orchestration, prompt tuning, and building RAG pipelines, vector search indexes, and knowledge base retrievers for enterprise data.
  • •Practical experience designing APIs (REST/SOAP/webhooks) and implementing agent protocols such as MCP, tool calling, or event-driven messaging.
  • •Expertise using tools like MuleSoft or custom middleware for API-led connectivity bridging AI agents with legacy ERP systems.
Experience:3+ yearsEnterprise integrationAIData engineeringLLM orchestration
Skills:Executive presenceWhiteboarding architectureProcess orchestration
Tech Stack:PythonJavaScriptTypeScriptJavaApexLLM orchestrationPrompt engineeringRAGVector databasesSearch indexesKnowledge basesRESTGraphQLWebhooksMuleSoftAPI designETLELTCursorClaude

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
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