Overview
Develop and operate Salesforce AI agents, prompt libraries, and automation workflows that improve commercial and seller productivity. The role combines Agentforce development, AI/ML integration, CRM automation, and responsible AI governance.
What you'll do
- Build and deploy Salesforce Agentforce agents for prospecting, account research, and call-transcript intelligence.
- Develop governed prompt libraries and reusable AI components.
- Design automations for seller and SDR workflows.
- Write AI outputs back into Salesforce CRM objects.
- Implement responsible AI controls for data handling, retention, and approved use.
- Partner with Sales, RevOps, and IT to identify automation opportunities.
- Maintain deployed agents using usage analytics and seller feedback.
What you'll need
- At least 5 years of experience is required.
- 4–7 years of Salesforce development and broader Salesforce ecosystem experience.
- Hands-on experience with Agentforce and Copilot Studio.
- Proficiency in prompt engineering, APIs, and AI/ML integration patterns.
- Experience with data modeling for AI inputs and outputs.
- Ability to implement responsible AI guardrails, including PII handling, output auditing, and retention policies.
- 15 years of full-time education.
Nice to have
- Experience with LangChain, Semantic Kernel, or an equivalent LLM orchestration framework.
- Background in SDR/AE workflows, sales enablement, or revenue operations.
- Salesforce Platform Developer or AI Specialist certification.
- Knowledge of Salesforce Einstein AI, prompt engineering, or agent development.
Details
Read the full description and apply on the company’s own careers page.
NewPosted today
