Drimva

Salesforce

Forward Deployed Engineer (FDE) — Agentforce Orchestration

$89K–$317K

Georgia - Atlanta +10 · Office - Flexible · Full-time · Posted Aug 25, 2026

Location
Georgia - Atlanta
Illinois - Chicago
New York - New York
Washington - Seattle
Washington - Bellevue
Texas - Dallas
Colorado - Denver
Indiana - Indianapolis
Virginia - Mclean
Texas - Austin
California - San Francisco
Experience
3+ years of software engineering or technical delivery experience; at least one production AI, data engineering, or enterprise integration system deployed to production.

About the job

Builds and deploys enterprise Agentforce multi-agent AI workflows, integrations, and grounding systems in customer environments.

What you'll do

  • Build and optimize agent workflows, communication protocols, and enterprise AI grounding systems.
  • Develop APIs and integration pipelines connecting Agentforce to data platforms, ERPs, and other enterprise systems.
  • Deploy and monitor production workflows, create performance dashboards, and relay customer feedback to Salesforce product teams.

What they ask for

  • 3+ years of software engineering or technical delivery experience, including at least one production AI, data engineering, or enterprise integration system.
  • High proficiency in Python, JavaScript/TypeScript, Java, or Apex.
  • Hands-on experience with LLM orchestration, prompt tuning, RAG pipelines, vector search, and knowledge base retrievers.
  • Experience with API design and agent protocols, process orchestration/API-led connectivity, data modeling, and asynchronous integration patterns.

Nice to have

  • Domain expertise in Supply Chain, Manufacturing, or Logistics Execution.
  • Salesforce ecosystem experience, cloud data platform experience, or creating reusable deployment accelerators and playbooks.

Pay

$88,970 - $287,910 annually (base salary); $97,860 - $316,750 per year (base salary)

Tools

AFO, MCP, RAG (Retrieval-Augmented Generation), Python, JavaScript/TypeScript, Java, Apex, MuleSoft

AI focus

Build and deploy enterprise agentic AI solutions, including multi-agent orchestration, LLM prompting, RAG grounding, and agent communication protocols; AI tools are also used in the recruiting process.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)