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