Forward Deployed Engineer (FDE) — Agentforce Orchestration
AI summary of the role
Salesforce seeks a Forward Deployed Engineer to design, build, and deploy enterprise-grade agentic AI solutions using Agentforce Operations (AFO) inside customer environments.
What you’ll do
- Build and optimize complex operational workflows using AFO, defining agent reasoning, tool-calling logic, and conditional execution loops.
- Implement agent-to-agent communication standards and Model Context Protocol (MCP) for context sharing and task hand-offs.
- Architect real-time data grounding systems using RAG, vector databases, and knowledge bases.
- Develop custom APIs and integration pipelines connecting AFO to Data Cloud, Snowflake, Databricks, and ERPs via MuleSoft or middleware.
What you’ll bring
- 3+ years of software engineering or technical delivery experience with at least one production AI, data engineering, or enterprise integration system.
- High proficiency in Python, JavaScript/TypeScript, Java, or Apex.
- Deep experience with LLM orchestration, prompt tuning, and building RAG pipelines and vector search indexes.
- Practical experience with API design (REST/SOAP/webhooks) and modern agent protocols (MCP, tool calling, event-driven messaging).
Technologies
Agentforce · AFO · MCP · RAG · vector databases · MuleSoft · Python · JavaScript · TypeScript · Java · Apex · Snowflake
About Salesforce
Salesforce sells CRM, data, integration, analytics and collaboration software now unified around Agentforce AI agents for enterprise customer workflows.
Public · 5000+ people
Source and classification
Production engineering · Evidence for this classification:
As a Forward Deployed Engineer (FDE) focusing on Agentforce Operations, you are a hands-on Technical Builder who designs, constructs, and deploys enterprise-grade agentic AI solutions directly inside customer environments. AFO powers the multi-agent orchestration layer, transforming messy operational workflows, unstructured data (emails, PDFs, spec sheets), and legacy ERP logs into autonomous execution engines with humans in the loop. Operating in an agile deployment pod alongside a Deployment Strategist and Specialized AI Engineers, you will serve as the crucial link connecting advanced AI agents to the broader enterprise technology landscape. You will write production code, architect real-time data grounding systems, perform prompt engineering, manage multi-agent communication protocols, and deploy automated supply chain and back-office workflows into production from day one. What
More from the job description
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Applications for this position will be accepted on an ongoing basis. About the Role As a Forward Deployed Engineer (FDE) focusing on Agentforce Operations, you are a hands-on Technical Builder who designs, constructs, and deploys enterprise-grade agentic AI solutions directly inside customer environments. AFO powers the multi-agent orchestration layer, transforming messy operational workflows, unstructured data (emails, PDFs, spec sheets), and legacy ERP logs into autonomous execution engines with humans in the loop. Operating in an agile deployment pod alongside a Deployment [... source excerpt omitted ...] rchitect real-time data grounding systems, perform prompt engineering, manage multi-agent communication protocols, and deploy automated supply chain and back-office workflows into production from day one. What You'll Actually Be Building Workflow & Multi-Agent Orchestration: Build, configure, and optimize complex operational workflows using AFO, defining agent reasoning, tool-calling logic, and conditional execution loops. Agent Communication Protocols: Implement modern agent-to-agent communication standards and the Model Context Protocol (MCP) to govern context sharing, task hand-offs, and tool execution across specialized AI agents. Enterprise AI Grounding Systems: Architect, [... source excerpt omitted ...] ent performance dashboards to track execution health, fallback triggers, and business outcomes. Field-to-Product Feedback: Serve as the direct connective bridge between frontline customer deployments and core Salesforce product/engineering teams to feed edge cases and gaps back into platform feature roadmaps. Required Qualifications 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. Hands-on AI & Grounding Expertise: Deep experience with LLM orchestration, pr
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