Agentforce Operations FDE

Salesforce; Netherlands; On-site; EUR 90,000 - 130,000; Full time

Job summary

Salesforce seeks a Forward Deployed Engineer focused on Agentforce Operations to design, build, and deploy enterprise-grade AI solutions inside customer environments. You will join an agile pod, writing production code and constructing real-time grounding systems with humans in the loop.

You will configure multi-agent workflows, implement MCP-based communication, and connect AFO/Agentforce to Salesforce Data Cloud and ERP systems using MuleSoft or custom middleware.

Qualifications

• 3+ years of software engineering or technical delivery experience with at least one production AI/enterprise integration system deployed.
• Proficiency in at least one modern language: Python, JavaScript/TypeScript, Java, or Apex.
• Hands-on AI grounding expertise: building RAG pipelines and vector stores for enterprise data.
• Experience with API design (REST/SOAP/webhooks) and agent protocols (MCP, tool calling).
• Experience with MuleSoft or similar middleware bridging AI agents with ERP systems.
• Knowledge of data modeling, schema design, and asynchronous messaging patterns.
• Ability to whiteboard architecture with senior leaders while writing production code.

Responsibilities

• Build, configure, and optimize complex multi-agent workflows and orchestration.
• Implement agent communication standards and the MCP protocol for context sharing.
• Architect real-time grounding systems using RAG, vector stores, and knowledge bases.
• Develop and maintain APIs and integration pipelines to connect enterprise systems and data clouds.
• Leverage AI tools to move from architecture sketches to deployable code quickly.
• Create telemetry dashboards to monitor health, triggers, and outcomes.
• Bridge frontline deployments with product and engineering to close gaps.

Skills

Software engineering

Python

JavaScript/TypeScript

Java

Apex

LLM orchestration

Prompt tuning

RAG pipelines

API design

MuleSoft

Docker

Kubernetes

Kafka

Tools

MuleSoft

Docker

Kubernetes

Kafka

Terraform

GitHub

Jira

Slack

Job description

Job Category

Sales

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Forward Deployed Engineer - Agentforce Orchestration

About the Role

As a Forward Deployed Engineer (FDE) focusing on Agentforce Operations , you are a hands-on Technical Builder who designs, constructs, and deploys enterprise-grade agentic AI solutions directly inside customer environments. AFO powers the multi-agent orchestration layer, transforming messy operational workflows, unstructured data (emails, PDFs, spec sheets), and legacy ERP logs into autonomous execution engines with humans in the loop. Operating in an agile deployment pod alongside a Deployment Strategist and Specialized AI Engineers , you will serve as the crucial link connecting 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 supply chain and back-office workflows into production from day one.

What You'll Actually Be Building

• Workflow & Multi-Agent Orchestration: Build, configure, and optimize complex operational workflows using AFO , defining agent reasoning, tool-calling logic, and conditional execution loops.
• Agent Communication Protocols: 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.
• Enterprise AI Grounding Systems: Architect, build, and maintain real-time data grounding infrastructure using RAG (Retrieval-Augmented Generation) , vector databases, search indexes, and knowledge bases to supply agents with accurate enterprise context.
• Enterprise Integration & API Management: 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.
• AI-Assisted Engineering: Leverage modern AI tools ( Cursor, Claude, Vibes ) embedded directly into your daily developer workflow to move from architecture sketch to deployable code in days, not months.
• Telemetry & Observability: Model data, ship ETL/ELT pipelines, and build real-time agent performance dashboards to track execution health, fallback triggers, and business outcomes.
• Field-to-Product Feedback: 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 feature roadmaps.

Required 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.
• Multi-Agent Systems & API Mastery: Practical experience with API design (REST/SOAP/webhooks) and modern agent protocols (e.g., MCP, tool calling, or event-driven messaging architectures).
• Expertise in process orchestration and API-led connectivity using tools like MuleSoft or custom middleware to bridge AI agents with legacy ERP systems.
• Solid understanding of data modeling, schema design, and asynchronous message integration patterns.
• Strong executive presence - ability to whiteboard architecture with enterprise CTOs and VPs while writing production code alongside lead architects.
• Familiarity with automation platforms (Pega, UiPath, Automation Anywhere, ServiceNow, Appian, Microsoft Power Platform) and competing enterprise AI and agent platforms (Microsoft Copilot Studio, Google Vertex AI, AWS Bedrock, IBM watsonx, Palantir AIP, ServiceNow AI Agents).
• Experience with integrated enterprise applications (Workday, Coupa, Jira, Slack, major warehouse or transportation management systems) and deployment infrastructure (Kafka, AWS EventBridge, Azure Service Bus, GitHub, Docker, Kubernetes, Terraform).
• Knowledge of