Forward Deployed Engineer (FDE) - Agentforce Orchestration

Salesforce; Georgia; On-site; USD 120,000 - 160,000; Full time

Job summary

Salesforce is seeking a Forward Deployed Engineer focused on Agentforce Operations to design, build, and deploy enterprise-grade agentic AI solutions inside customer environments. You will connect advanced AI agents to the broader enterprise tech landscape and write production code from day one.

In this role, you’ll work in an agile pod with a Deployment Strategist and Specialized AI Engineers, architect real-time data grounding, and implement multi-agent coordination across systems such as SAP,

Qualifications

• 3+ years of software engineering or technical delivery with production AI deployments.
• Proficiency in Python, JavaScript/TypeScript, Java, or Apex.
• Hands-on AI grounding, LLM orchestration, and RAG pipeline experience.
• API design experience and agent protocols (MCP, tool calling).
• Experience integrating enterprise apps and data platforms.

Responsibilities

• Design, build, and deploy enterprise-grade agentic AI solutions inside customer environments.
• Develop multi-agent orchestration and tool-calling logic with MCP standards.
• Architect real-time data grounding systems using vector databases and knowledge bases.
• Create and maintain APIs (REST, GraphQL, webhooks) and data pipelines.
• Collaborate with Deployment Strategists and AI engineers in agile pods.

Skills

Python

JavaScript/TypeScript

Java

Apex

LLM orchestration

API design

MuleSoft

Data modeling

Tools

Docker

Kubernetes

Snowflake

Databricks

GraphQL

REST APIs

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Sales

Job Details

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.

Applications for this position will be accepted on an ongoing basis.

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).