Forward Deployed Engineer (FDE) — Agentforce Orchestration
$89k - $288k • Georgia - Atlanta
Posted 1mo ago
Job Location
Georgia - Atlanta
Tech Stack
Remote Work Policy
On-site
Categories
AI Agent Engineer
About the job
As a Forward Deployed Engineer (FDE) focusing on Agentforce Operations, you will be a hands-on technical builder responsible for designing, constructing, and deploying enterprise-grade agentic AI solutions directly within customer environments. This role involves working within an agile deployment pod to connect 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 workflows into production.
Responsibilities
- Build, configure, and optimize complex operational workflows using AFO, defining agent reasoning, tool-calling logic, and conditional execution loops.
- Implement agent-to-agent communication standards and the Model Context Protocol (MCP) for context sharing, task hand-offs, and tool execution.
- Architect, build, and maintain real-time data grounding infrastructure using RAG, vector databases, search indexes, and knowledge bases.
- Develop and maintain custom APIs and integration pipelines connecting AFO/Agentforce to Salesforce Data Cloud, cloud warehouses, and core ERPs.
- Leverage AI tools embedded in the developer workflow to accelerate the transition from architecture sketch to deployable code.
- Model data, ship ETL/ELT pipelines, and build real-time agent performance dashboards.
- Act as a bridge between customer deployments and product/engineering teams to provide feedback on platform roadmaps.
Requirements
- 3+ years of software engineering or technical delivery experience, with at least one production AI, data engineering, or enterprise integration system deployed.
- High proficiency in Python, JavaScript/TypeScript, Java, or Apex.
- Deep experience with LLM orchestration, prompt tuning, and building RAG pipelines, vector search indexes, and knowledge base retrievers.
- Practical experience with API design (REST/SOAP/webhooks) and modern agent protocols (e.g., MCP, tool calling).
- Expertise in process orchestration and API-led connectivity using tools like MuleSoft or custom middleware.
- Solid understanding of data modeling, schema design, and asynchronous message integration patterns.
- Ability to whiteboard architecture with enterprise CTOs and VPs while writing production code.
- Familiarity with automation platforms (Pega, UiPath, ServiceNow, etc.) and competing enterprise AI/agent platforms.
- Experience with integrated enterprise applications (Workday, Coupa, Jira, etc.) and deployment infrastructure (Kafka, AWS EventBridge, Docker, Kubernetes, Terraform).
- Knowledge of data governance and master data systems.
- Understanding of enterprise security and governance principles.
- Willingness to travel 25-30% for on-site deployments.