Principal, Specialist SE

Applications will be accepted until 05/18/2026. Description Principal, Solution Engineering Overview of the Role: Sits at the intersection of AI-assisted development, Salesforce platform expertise, and customer enablement. This is not a traditional Solution Engineer role; it is built for builders who are deeply curious about how AI agents change the way technical work gets done and who want to be at the forefront of that shift. Responsibilities: Design, build, and operationalize agentic AI-driven workflows using Large Language Models (LLMs), prompt engineering, and tools like Agentforce Vibes, Claude, Cursor, and GitHub Copilot to accelerate demo creation Empower customers to build, configure, and support their own Salesforce environments faster and smarter using industry-specific clouds like Agentforce for Public Sector. Proactively build production-ready, open-sourced, and standards-aligned accelerators targeting State and Local Government customers based on the "80% Generic Core" philosophy, providing Localization Guides for the Systems Integrator (SI)-led final 20%. Scope every accelerator through the Triple Filter (Open Data Mandate, Standards Mandate, Revenue Matrix) and measure success by Net New Annual Order Value (NNAOV) and consumption metrics. Act as a strategic advisor to Product Management, providing critical feedback on Agentforce Vibes and identifying cross-functional integration gaps within the Headless 360 ecosystem to optimize AI-assisted development workflows. Required Qualifications: Background as a Platform or Technical Architect with expertise in Salesforce platform capabilities (Apex, Lightning Web Components (LWC), Flow, Salesforce DX) and industry-specific clouds like Agentforce for Public Sector. Hands-on experience with LLMs, prompt engineering, and AI-assisted development tools (Claude, Cursor, GitHub Copilot), along with an understanding of the Model Context Protocol Proficiency in scripting (Python, Node.js, Bash), DevOps (Git, Continuous Integration/Continuous Deployment (CI/CD), Docker), and robust API integration (REST/GraphQL) to design accelerators for State and Local Government Ability to travel 20-30% for customer engagements, Tiger Team activations, and industry events Preferred Qualifications: Hands-on experience sourcing and working with open data sets from platforms like Hugging Face and Kaggle. Familiarity with open-sourcing projects and creating technical localization guides for partners. Familiarity with Agentforce, Einstein, or Salesforce AI features. Active participation in the AI developer community (open source contributions, blog posts, conference talks). For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr B Capital