6 days ago

Agentforce Operations FDE

Salesforce

Amsterdam

6 days ago

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Salesforce is hiring a Forward Deployed Engineer for Agentforce Operations to design, build, and deploy enterprise-grade agentic AI solutions in customer environments. The role involves workflow orchestration, multi-agent communication, RAG-based grounding, and integration with enterprise systems. Requires 3+ years of software engineering experience, proficiency in Python/JavaScript/Java/Apex, and expertise in AI, APIs, and process orchestration.

Core AIRemoteFull-timeMid LevelPythonJavaScript

Agentforce Operations FDE

Apply

Core AIRemoteFull-timeMid LevelPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Remote

Experience Required

3 years

Employment Type

Full-time

Experience Level

3+ years of software engineering or technical delivery experience

Core Qualifications

Technical (Must-have)

PythonJavaScriptTypeScriptJavaApexLLM OrchestrationPrompt EngineeringRAGVector DatabasesREST APIsGraphQLWebhooksMuleSoftData ModelingKubernetes

Soft Skills

Executive PresenceCommunicationCollaboration

Preferred Qualifications

Technical (Nice-to-have)

SnowflakeDatabricksBigQueryAgentforceData CloudFlowHeadless Architectures

Key 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.
•Develop and maintain custom APIs (REST, GraphQL, webhooks) and integration pipelines connecting AFO/Agentforce to Salesforce Data Cloud, cloud warehouses, and core ERPs via MuleSoft or custom middleware.
•Leverage modern AI tools (Cursor, Claude, Vibes) embedded into daily developer workflow to move from architecture sketch to deployable code.
•Model data, ship ETL/ELT pipelines, and build real-time agent performance dashboards to track execution health, fallback triggers, 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 feature roadmaps.

AgentforceAIForward Deployed EngineerEnterprise IntegrationRAGMulti-Agent SystemsSalesforceRemoteFull-time

Key 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.

•Develop and maintain custom APIs (REST, GraphQL, webhooks) and integration pipelines connecting AFO/Agentforce to Salesforce Data Cloud, cloud warehouses, and core ERPs via MuleSoft or custom middleware.

•Leverage modern AI tools (Cursor, Claude, Vibes) embedded into daily developer workflow to move from architecture sketch to deployable code.

•Model data, ship ETL/ELT pipelines, and build real-time agent performance dashboards to track execution health, fallback triggers, 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 feature roadmaps.