Forward Deployed Engineer (Agentforce Orchestration)

Join our team as a Forward Deployed Engineer (FDE) focusing on Agentforce Operations. In this role, you will design, construct, and deploy enterprise-grade AI solutions directly within customer environments. You will work in an agile deployment pod alongside a Deployment Strategist and Specialized AI Engineers, serving as the crucial link connecting advanced AI agents to the broader enterprise technology landscape. Your responsibilities will include building and optimizing complex operational workflows, implementing agent communication protocols, architecting real-time data grounding systems, and developing custom APIs for enterprise integration. You will also leverage modern AI tools to enhance your development workflow and serve as the direct connective bridge between frontline customer deployments and core Salesforce product/engineering teams.

• Design, construct, and deploy enterprise-grade agentic AI solutions directly inside customer environments, focusing on multi-agent orchestration and operational workflows.
• Architect, build, and maintain real-time data grounding infrastructure using Retrieval-Augmented Generation (RAG), vector databases, search indexes, and knowledge bases.
• Develop and maintain custom APIs (REST, GraphQL, webhooks) and integration pipelines connecting AFO/Agentforce to various enterprise systems, ensuring seamless integration.
• 3+ years of software engineering or technical delivery experience, with at least one production AI, data engineering, or enterprise integration system deployed to production
• Solid understanding of data modeling, schema design, and asynchronous message integration patterns
• 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)
• Expertise in process orchestration and API-led connectivity using tools like MuleSoft or custom middleware to bridge AI agents with legacy ERP systems
• High proficiency in at least one modern language: Python, JavaScript/TypeScript, Java, or Apex
• 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)
• Understanding of enterprise security and governance: Identity and access management, OAuth, data privacy, audit logging, permissioning, and secure tool execution
• Strong executive presence - ability to whiteboard architecture with enterprise CTOs and VPs while writing production code alongside lead architects
• 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)
• 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)
• Willingness to travel 25-30% for on-site deployment with key enterprise accounts
• 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
• Proven ability to create reusable accelerators, reference architectures, connectors, and implementation playbooks from customer deployments
• Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery)
• Experience within the Salesforce Ecosystem (Agentforce Specialist, Data Cloud, Apex, Flow, or Headless architectures)
• Specific domain expertise in Supply Chain, Manufacturing, or Logistics Execution