Forward Deployed Engineer (FDE) — Agentforce Orchestration

Salesforce · Georgia - Atlanta · Atlanta · Austin · Bellevue · Chicago · Dallas · Denver · Indianapolis · Mclean · New York · San Francisco · Seattle

Spotted 59d agoFull-time

Apply with Autofill

Job details

Employment: Full-time
Level: Mid level
Experience: 3+ years
Posted: Aug 25, 2026
Last confirmed open: Oct 23, 2026

What you'll need to apply

Fields this application requires

NameEmailPhoneCountryResumeWork authorization answerVisa sponsorship answer

Company-specific questions

Do you have the unrestricted right to work in the country to which you're applying? (You must answer “No” if you are on any visa or possess any government issued work authorization document that has an expiration date; you should answer “Yes” if you have DACA or TPS authorization in the US)
Government Employment: In the last 5 years, have you been an employee of a U.S. federal, state, or local government, including a "special Government employee" (defined under 18 U.S.C. §202), or a member of the U.S. Armed Services (including Reserve and Guard components)?
I attest/confirm that I have no post-government employment restrictions currently applicable to me that have not already been addressed or disclosed in the previous questions, OR that if I am aware of any applicable restrictions, I will disclose them to the recruiter if contacted for further processing of my application. If I received written advice from my current or former government employer about work restrictions that are still active, I will provide it to the recruiter if contacted for further processing of my application.
Are you currently or have you in the past been debarred, suspended, proposed for debarment or declared ineligible for award of a contract by any federal agency?
As a U.S. company that exports software and technology internationally, we must comply with U.S. export control laws in every country where we operate. The information provided will be used to determine whether we need to obtain an Export Control License for your employment if you are hired. Are you a citizen, national or permanent resident of Iran, Cuba, North Korea or Syria?
Regarding future positions at Salesforce, please select one of the following options
I acknowledge that I have read, reviewed and answered the above questions truthfully and accurately. I further understand, and agree, that any offer of employment I may receive from Salesforce is conditional on the truth of the above statements and that, in the event it is subsequently determined that any of the above is inaccurate, any such offer of employment can be rescinded and, in the event I have commenced employment, such employment will be terminated, to the extent permitted by applicable law. Please select "yes" if you acknowledge.

Job description

About this role

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 data governance and master data systems (Informatica, Collibra, SAP MDG, Reltio) and operational execution platforms (Manhattan Associates, Blue Yonder, Kinaxis, Oracle transportation management).
Understanding of enterprise security and governance: Identity and access management, OAuth, data privacy, audit logging, permissioning, and secure tool execution.
Willingness to travel 25-30% for on-site deployment with key enterprise accounts.

Preferred Qualifications

Specific domain expertise in Supply Chain, Manufacturing, or Logistics Execution.
Experience within the Salesforce Ecosystem (Agentforce Specialist, Data Cloud, Apex, Flow, or Headless architectures).
Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery).
Proven ability to create reusable accelerators, reference architectures, connectors, and implementation playbooks from customer deployments.

Interested in this role?Continue on Salesforce's careers page.

Apply on Salesforce