About the Role We are seeking an experienced Salesforce Agentforce Forward Deployed Engineer (FDE) to accelerate the deployment of AI-powered business solutions across the enterprise. The Forward Deployed Engineer acts as the bridge between business strategy, product teams, Salesforce platforms, and AI engineering. This role works directly with business stakeholders to identify high-value opportunities, rapidly design and deploy solutions, and drive measurable business outcomes. The ideal candidate combines deep Salesforce platform expertise, hands-on AI engineering skills, strong stakeholder management capabilities, and proven experience deploying Agentforce solutions in production environments. Unlike traditional Salesforce developers, Forward Deployed Engineers are expected to operate as builders, architects, consultants, and business problem-solvers , translating complex business challenges into production-ready AI-powered solutions. Key Responsibilities Agentforce Solution Development Design, configure, and deploy Salesforce Agentforce agents for enterprise use cases Build and deploy agentic workflows that automate business processes Configure Agentforce Topics, Actions, Instructions, Guardrails, and Prompt Templates Develop and optimize multi-agent orchestration patterns Implement conversational experiences for employee, customer, and operational workflows AI Engineering Design and implement Retrieval-Augmented Generation (RAG) solutions Build AI-powered assistants utilizing enterprise knowledge sources Develop prompt engineering strategies to improve quality, accuracy, and reliability Integrate large language models into Salesforce business processes Implement evaluation frameworks, testing approaches, and observability capabilities for AI systems Salesforce Platform Engineering Develop and maintain Apex code, Lightning Web Components (LWC), and Salesforce Flows Implement complex integrations with enterprise applications and external platforms Build APIs, services, event-driven integrations, and reusable components Leverage Salesforce Data Cloud capabilities where applicable Ensure secure, scalable, and maintainable architecture patterns Forward Deployed Engineering Work directly with business stakeholders to identify high-value AI opportunities Conduct discovery workshops and use-case prioritization sessions Translate business objectives into production-ready technical solutions Rapidly prototype and iterate solutions with end users Drive adoption and measurable business outcomes Engineering Excellence Implement CI/CD pipelines and release automation Apply DevOps and platform engineering practices Develop testing strategies and automated validation frameworks Create technical documentation, design artifacts, and operational runbooks Continuously improve performance, reliability, scalability, and maintainability of deployed solutions Required Qualifications Salesforce Experience 5+ years of Salesforce platform experience Strong hands-on experience with: Apex Development Lightning Web Components (LWC) Salesforce Flows Salesforce Integration Patterns REST APIs Security and Sharing Models Service Cloud Sales Cloud Agentforce Experience Demonstrated hands-on experience deploying Salesforce Agentforce solutions Experience building and configuring: Agentforce Agents Prompt Builder Agent Builder Agent Actions Topics Instructions Guardrails Agent Testing Frameworks AI Experience Experience designing AI-driven applications using: LLM APIs Agentic Workflows Retrieval-Augmented Generation (RAG) Prompt Engineering Context Engineering Experience utilizing: LangChain LlamaIndex Vector Databases Model Orchestration Frameworks Integration Experience Experience connecting AI systems with: Salesforce Enterprise Applications APIs and Microservices External Data Sources Data Platforms Cloud Experience Experience with one or more of the following: AWS Microsoft Azure Google Cloud Platform Preferred Qualifications Salesforce AI Ecosystem Salesforce Data Cloud Einstein Platform MuleSoft Experience Cloud Marketing Cloud Enterprise AI AI Observability Platforms AI Evaluation Frameworks Prompt Management Platforms MCP and Tool-Use Frameworks Agent Governance Frameworks Delivery Experience Consulting experience Client-facing engineering experience Product engineering experience Forward Deployed Engineering experience Agile delivery experience Certifications Preferred certifications include: Salesforce AI Associate Salesforce AI Specialist Salesforce Platform Developer I / II Salesforce Application Architect Salesforce System Architect Salesforce Agentforce Certifications, where applicable AWS, Azure, or GCP Cloud Certifications Success Criteria Successful candidates will demonstrate the ability to: Deploy production-ready Agentforce solutions within weeks rather than months Engage effectively with business stakeholders and technical teams Deliver measurable business outcomes Apply deep Salesforce platform expertise to complex business problems Build and integrate AI-powered solutions Work effectively across business, product, architecture, security, and engineering teams Operate successfully within a Forward Deployed Engineering model Typical FDE Team Structure A typical Agentforce FDE delivery team may include: Onshore Lead Agentforce FDE Business engagement Solution architecture Stakeholder management Technical leadership Salesforce Agentforce Engineer Apex development LWC development Agentforce implementation Salesforce platform engineering Senior Salesforce AI Engineer Agentforce development Enterprise integrations Prompt engineering AI solution development Salesforce AI Engineer Testing and automation Deployment support Validation Documentation Production support

Pay:

$60.00 - $65.00 per hour Expected hours: 40.0 per week

Work Location:

Hybrid remote in Frisco, TX 75035