Enterprise AI Field Engineer

Salesforce.com, inc.; United States; Hybrid; USD 89,000 - 288,000; Full time

Job summary

Salesforce is seeking a Forward Deployed Engineer to design, build, and deploy enterprise-grade agent AI solutions inside customer environments. You will be a hands-on technical builder, connecting multi-agent orchestration with existing enterprise platforms and data sources.

From day one you will write production code, implement real-time grounding, and define agent reasoning and tool-calling logic, while collaborating with Deployment Strategists and AI engineers to deploy end-to-end workflows

Qualifications

• 3+ years of software engineering or technical delivery experience with production AI or enterprise integrations.
• Hands-on AI grounding expertise, including LLM orchestration and RAG pipelines.
• Experience with API design (REST/SOAP/webhooks) and agent protocols (MCP).
• Experience with middleware like MuleSoft or custom solutions connecting to ERP systems.
• Knowledge of data modeling, schema design, and asynchronous messaging.

Responsibilities

• Design, build, and deploy enterprise-grade agent AI solutions inside customer environments.
• Develop real-time data grounding systems and multi-agent coordination.
• Implement agent communication protocols and tool calling logic.
• Create APIs and integration pipelines to connect AFO/Agentforce to Salesforce Data Cloud, Snowflake, and ERP systems.
• Develop telemetry dashboards and monitoring for agent performance.

Skills

LLM orchestration

Prompt tuning

MCP protocol

API design

Data grounding

Data governance

Cloud platforms

Executive communication

Tools

Kafka

Docker

Kubernetes

Terraform

Snowflake

Databricks

AWS EventBridge

Azure Service Bus

GraphQL

Job description

Salesforce is seeking a Forward Deployed Engineer to design, build, and deploy enterprise-grade agent AI solutions inside customer environments. You will be a hands-on technical builder, connecting multi-agent orchestration with existing enterprise platforms and data sources.

From day one you will write production code, implement real-time grounding, and define agent reasoning and tool-calling logic, while collaborating with Deployment Strategists and AI engineers to deploy end-to-end workflows