> Markdown version of [/jobs/ext/3970943-federal-senior-salesforce-developer-agentforce-specialist](https://www.wearedevelopers.com/jobs/ext/3970943-federal-senior-salesforce-developer-agentforce-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Federal Senior Salesforce Developer - Agentforce Specialist - **Company:** Thunder, Llc - **Location:** Washington, DC, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Logic, Cloud Computing, Continuous Integration, Custom Software, Data Security, Programming Tools, Systems Development Life Cycle, Software Safety, Salesforce.Com, Secure Coding, Systems Integration, Apex Code, SOAPAPI, Generative AI, Backend, Agentic-AI, Git, Information Technology, Apex Programming, Virtual Agents, Cloud Integration, Database Rules and Triggers, Devsecops, Api Management - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/federal-senior-salesforce-developer-agentforce-specialist-washington-dc--aafa13ad-9da8-44fa-9ea2-ac63c6b1157e ## About the Role Salesforce.com, Salesforce.com, Government, Business Analysis, Best Practices, Federal Government, Artificial Intelligence (AI), Project/Program Management, Scalable System Development, Architectural Analysis, * Experience: 6+ years of hands-on Salesforce development experience (Apex, LWC, secure REST/SOAP APIs) with practical expertise in building and deploying Agentforce agents or generative AI solutions. * AgentForce Domain Experience: Deep understanding of Agentforce architecture, custom action development, prompt configuration, grounding techniques, and Data Cloud integration. * Core Automation: Proven track record of implementing complex business logic, enterprise workflows, and custom platform automations using apex triggers, flows, and other declarative technology * Federal Context: Experience integrating Salesforce with legacy Federal systems and navigating cleared, highly regulated environments. * Development Tools & Methodologies: Proficiency with Git, secure coding standards, and DevSecOps/CI/CD pipelines. Active participant in Agile/Scrum delivery models. * Clearance & Citizenship: U.S. Citizenship required, with the ability and willingness to obtain and maintain a security clearance. * Education: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Certifications * Required: Salesforce Certified Platform Developer I and Salesforce Certified AI Specialist * Preferred: Data Cloud Consultant and/or Salesforce Certified Platform Developer II ## Description Location: Remote (US-based). While this is a primarily remote role, possible in-person expectations include visits with customers and Thunder offices in Northern Virginia/DC., * Agentforce & AI Development: Design, configure, and deploy autonomous and hybrid AI agents using Agentforce, customized subagent orchestration, instructions, and guardrails to handle complex mission inquiries. * Custom Action Building: Develop Apex classes, flows, and API connectors to equip Agentforce agents with custom actions and API integrations required to execute complex tasks. * Data Grounding & System Integration: Implement secure data grounding strategies and build API integrations between legacy Federal systems, Data Cloud, and Salesforce to provide Agentforce with accurate context. * Custom Development: Build Lightning Web Components (LWCs) and Apex triggers to enhance user interfaces and backend processes that interact with AI agent workflows. * AI Safety & Compliance: Enforce Federal security and compliance standards, configuring trust layers, data privacy controls, and audit mechanisms within AI interactions. * Solution Design & Collaboration: Work alongside Business Analysts and Architects to translate complex mission-critical business requirements into high-impact AI agent architectures. * Quality & Compliance: Conduct agent testing, prompt evaluation, and UAT support to ensure precise, reliable, and compliant AI outputs in cleared environments. * DevSecOps & CI/CD: Support secure CI/CD pipelines and DevSecOps practices to enable rapid, reliable deployments of AI configurations in Federal delivery environments.