Salesforce
Expert Agent Builder, Forward Deployed Engineering
$158K–$317K
California - San Francisco · Office - Flexible · Full-time · Posted Sep 29, 2026
- Experience
- 8+ years; no alternatives stated.
- Education
- Strong background in Computer Science or a related engineering discipline; no degree specified.
About the job
Architects, builds, and delivers complex AI agent systems that address enterprise customer challenges using Agentforce and related technologies.
What you'll do
- Design, develop, and deploy agentic AI solutions integrated with enterprise systems.
- Set and enforce engineering best practices for quality, scalability, and security; resolve complex technical blockers.
- Develop data models and processing pipelines and customize the Salesforce platform to support AI solutions.
What they ask for
- 8+ years of hands-on, end-to-end delivery experience for high-quality, scalable production solutions; strong background in Computer Science or a related engineering discipline.
- Expert proficiency in one or more programming languages; deep knowledge of object-oriented programming and databases; experience with React, Angular, or LWC.
- Hands-on experience building and deploying AI/LLM solutions, including agent systems, orchestration frameworks, machine learning, NLP, prompt engineering, RAG, and evaluation/testing.
- Expertise in data modeling, processing, integration, and analytics; enterprise data platform proficiency; automated testing experience; ability to travel 30% as needed.
Nice to have
- Direct Salesforce platform experience; open-source AI framework contributions; advanced Salesforce certifications.
- Professional Apex, Javascript, and/or Python experience; agentic voice systems or speech APIs; focus on high-quality user experiences.
Pay
$157,640 - $287,910 annually (base salary); $173,460 - $316,750 per year (base pay)
Tools
Agentforce, LangChain, LlamaIndex, Java, Apex, JavaScript, Python, React
AI focus
Architects and builds agentic AI systems, integrating LLMs and orchestration frameworks; develops custom agents, applies prompt engineering and advanced RAG, and creates evaluation and testing frameworks. Also informs Agentforce product enhancements.
Model-written summary · the original posting is authoritative