Agentforce Operations FDE

Salesforce
Amsterdam
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["Executive presence","Architecture whiteboarding","Problem-solving"]

Design, construct, and deploy enterprise-grade agentic AI solutions directly inside customer environments as a Forward Deployed Engineer focused on Agentforce Operations. Build workflow and multi-agent orchestration, implement agent communication protocols (including MCP), and architect real-time data grounding with RAG and vector search. Develop APIs and integration pipelines connecting to data platforms and ERPs, deliver ETL/ELT telemetry and dashboards, and feed deployment learnings back into Salesforce product roadmaps.

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FursaFursa
Salesforce
Salesforce
1 week ago

Agentforce Operations FDE

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design, construct, and deploy enterprise-grade agentic AI solutions directly inside customer environments as a Forward Deployed Engineer focused on Agentforce Operations. Build workflow and multi-agent orchestration, implement agent communication protocols (including MCP), and architect real-time data grounding with RAG and vector search. Develop APIs and integration pipelines connecting to data platforms and ERPs, deliver ETL/ELT telemetry and dashboards, and feed deployment learnings back into Salesforce product roadmaps.
Location: Amsterdam
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Build, configure, and optimize workflow and multi-agent orchestration using Agentforce Orchestration, defining reasoning, tool-calling logic, and conditional execution loops.
  • •Implement agent-to-agent communication standards, including MCP, to manage context sharing, task hand-offs, and tool execution across specialized agents.
  • •Architect and maintain real-time enterprise AI grounding systems using RAG, vector search indexes, and knowledge bases for accurate context.
  • •Develop and maintain APIs and integration pipelines (REST/GraphQL/webhooks) connecting Agentforce to Salesforce Data Cloud, cloud warehouses, and core ERPs, using MuleSoft or custom middleware.
  • •Ship ETL/ELT and build telemetry/observability dashboards to track agent performance, execution health, fallback triggers, and business outcomes, while relaying field-to-product feedback to core teams.
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.
  • •Strong proficiency in Python, JavaScript/TypeScript, Java, or Apex.
  • •Deep experience with LLM orchestration, prompt tuning, and building RAG pipelines with vector search and enterprise knowledge base retrievers.
  • •Practical API design experience (REST/SOAP/webhooks) and modern agent protocols such as MCP, tool calling, or event-driven messaging.
  • •Experience with process orchestration and API-led connectivity using MuleSoft or custom middleware, plus solid data modeling and asynchronous integration patterns.
Experience:Enterprise integrationAIData engineeringLLM orchestrationAgentic AI
Skills:Executive presenceArchitecture whiteboardingProblem-solving
Tech Stack:PythonJavaScriptTypeScriptJavaApexLLM orchestrationPrompt engineeringRAGVector databasesVector searchKnowledge base retrieversMCPRESTGraphQLWebhooksAPI designMuleSoftData CloudData 360Snowflake

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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