Enterprise AI Engineer — Field Deployment

Salesforce; Bellevue (WA); On-site; USD 98,000 - 316,000; Full time

Job summary

Salesforce is seeking a Forward Deployed Engineer to design and deploy enterprise-grade agentic AI solutions inside customer environments. You will join an agile pod, connecting AI agents to the broader Salesforce Data Cloud and ERP landscape.

You will write production code, engineer real-time grounding systems, and implement multi-agent communication protocols. Travel to on-site deployments will be 25-30% as required.

Qualifications

• 3+ years of software engineering or technical delivery experience with at least one production AI, data engineering, or enterprise integration system.
• Proficiency in at least one modern language: Python, JavaScript/TypeScript, Java, or Apex.
• Hands-on AI & Grounding Expertise: LLM orchestration, prompt tuning, and building RAG pipelines with enterprise data.

Responsibilities

• Design, build, and deploy enterprise-grade agentic AI solutions inside customer environments.
• Connect AI agents to Salesforce Data Cloud and ERP systems via middleware.
• Develop and maintain APIs (REST, GraphQL, webhooks) and data-grounding pipelines.

Skills

Python

JavaScript/TypeScript

Java

Apex

LLM orchestration

API design

MuleSoft

Docker

Kubernetes

Terraform

Tools

REST APIs

GraphQL

Webhooks

Kafka

Snowflake

Databricks

Job description

Salesforce is seeking a Forward Deployed Engineer to design and deploy enterprise-grade agentic AI solutions inside customer environments. You will join an agile pod, connecting AI agents to the broader Salesforce Data Cloud and ERP landscape.

You will write production code, engineer real-time grounding systems, and implement multi-agent communication protocols. Travel to on-site deployments will be 25-30% as required.