Forward Deployed Engineer — Agentforce Orchestration

Salesforce
Munich, Frankfurt, Düsseldorf, Stuttgart, Berlin
Workplace: HybridFull timeFunction: Software EngineeringExperience: 3+ yearsSkills: ["Whiteboarding","Executive presence","Architecture","Prompt tuning","Interoperability"]

Design, construct, and deploy enterprise-grade agentic AI solutions directly inside customer environments. Build and optimize workflow orchestration for multi-agent execution, implement agent communication protocols (including MCP/tool calling), and architect real-time AI grounding with RAG, vector search, and knowledge bases. Develop and maintain APIs and integration pipelines connecting Agentforce to Data Cloud and core ERPs, while shipping telemetry/observability and feeding customer learnings back to Salesforce product teams.

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FursaFursa
Salesforce
Salesforce
3 days ago

Forward Deployed Engineer — Agentforce Orchestration

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Design, construct, and deploy enterprise-grade agentic AI solutions directly inside customer environments. Build and optimize workflow orchestration for multi-agent execution, implement agent communication protocols (including MCP/tool calling), and architect real-time AI grounding with RAG, vector search, and knowledge bases. Develop and maintain APIs and integration pipelines connecting Agentforce to Data Cloud and core ERPs, while shipping telemetry/observability and feeding customer learnings back to Salesforce product teams.
Location: Munich, Frankfurt, Düsseldorf, Stuttgart, Berlin
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and deploy agentic AI solutions inside customer environments, including multi-agent orchestration workflows and conditional execution.
  • •Implement agent-to-agent communication protocols (including MCP) for context sharing, task hand-offs, and tool execution.
  • •Architect real-time enterprise grounding systems using RAG, vector search, and knowledge base retrievers to deliver accurate agent context.
  • •Develop and maintain APIs and integration pipelines connecting Agentforce to Data Cloud and enterprise ERPs via MuleSoft or custom middleware.
  • •Build telemetry/observability for agent execution health and feed field learnings into Salesforce product/engineering roadmaps.
Travel: Medium travel

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.
  • •Proficiency in at least one modern language: Python, JavaScript/TypeScript, Java, or Apex.
  • •Hands-on experience with LLM orchestration, prompt tuning, and building RAG pipelines, vector search indexes, and enterprise knowledge base retrievers.
  • •Practical experience designing APIs (REST/SOAP/webhooks) and modern agent protocols such as MCP and tool calling.
  • •Experience with enterprise integration/orchestration using MuleSoft or custom middleware, plus solid data modeling and asynchronous integration patterns.
Experience:3+ yearsAIData engineeringEnterprise integration
Skills:WhiteboardingExecutive presenceArchitecturePrompt tuningInteroperability
Tech Stack:PythonJavaScript/TypeScriptJavaApexLLM orchestrationPrompt engineeringRAGRetrieval-Augmented GenerationVector databasesSearch indexesKnowledge basesMCPTool callingRESTGraphQLWebhooksMuleSoftSnowflakeDatabricksSAP

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