Forward-Deployed AI Engineer for Agentforce Operations

Salesforce; Amsterdam; On-site; EUR 120,000 - 160,000; Full time

Job summary

Salesforce is seeking a Forward Deployed Engineer to design, build, and deploy AI-driven agentforce orchestration within customer environments. You’ll work on real-time grounding systems, multi-agent communications, and production-grade APIs to connect enterprise data clouds and ERP systems.

You’ll be hands-on with prompt engineering, data pipelines, and performance dashboards while collaborating with Deployment Strategists and AI engineers to deliver enterprise-scale workflows from day one.

Qualifications

• 3+ years of software engineering or technical delivery experience, with at least one production AI, data engineering, or enterprise integration system deployed to production.
• High proficiency in at least one modern language: Python, JavaScript/TypeScript, Java, or Apex.
• Hands-on AI & Grounding Expertise: Deep experience with LLM orchestration, prompt tuning, and building RAG pipelines, vector search indexes, and knowledge base retrievers for enterprise data.

Responsibilities

• Build, configure, and optimize complex operational workflows using AFO, defining agent reasoning, tool-calling logic, and conditional execution loops.
• Implement modern agent-to-agent communication standards and the Model Context Protocol (MCP) to govern context sharing, task hand-offs, and tool execution across specialized AI agents.
• Architect, build, and maintain real-time data grounding infrastructure using RAG, vector databases, search indexes, and knowledge bases to supply agents with accurate enterprise context.
• Develop and maintain custom APIs (REST, GraphQL, webhooks) and integration pipelines connecting AFO/Agentforce to Salesforce Data Cloud (Data 360), cloud warehouses (Snowflake, Databricks), and core ERPs (SAP, Oracle, NetSuite) via MuleSoft or custom middleware.
• Leverage modern AI tools embedded into daily developer workflow to move from architecture sketch to deployable code quickly.
• Model data, ship ETL/ELT pipelines, and build real-time agent performance dashboards to track execution health and business outcomes.
• Serve as the direct connective bridge between frontline customer deployments and core Salesforce product/engineering teams to feed edge cases and gaps back into platform roadmaps.

Skills

LLM orchestration

API design

MuleSoft integration

Docker

Kubernetes

Data modeling

Prompt engineering

Enterprise integration

Python

Tools

MuleSoft

Docker

Kubernetes

Snowflake

Databricks

SAP

Oracle

NetSuite

Job description

Salesforce is seeking a Forward Deployed Engineer to design, build, and deploy AI-driven agentforce orchestration within customer environments. You’ll work on real-time grounding systems, multi-agent communications, and production-grade APIs to connect enterprise data clouds and ERP systems.

You’ll be hands-on with prompt engineering, data pipelines, and performance dashboards while collaborating with Deployment Strategists and AI engineers to deliver enterprise-scale workflows from day one.