Salesforce AI Engineer
U.S Remote, hybrid or onsite
Permanent position
Role & Responsibilities :
configure, and optimize Salesforce Einstein models (Predictive models,
Generative models).
Salesforce native AI models based on CRM data, including Sales, Service,
and Marketing Cloud data.
with Salesforce Data Cloud to prepare high-quality datasets for AI use.
test, and refine effective prompts for Salesforce Einstein GPT and custom
GPT models (Flows, Apex code generation, knowledge article generation).
a prompt library for reusable AI-assisted solutions across sales,
service, marketing, and dev teams.
for Developers & AI Tool Utilization :
Einstein for Developers (pilot or GA) for Apex, Flow, and LWC code
generation.
AI-driven solutions for automating repetitive development tasks (e.g.,
Flow GPT, Apex GPT).
Salesforce AI tools with DevOps pipelines where possible.
with required stakeholders to design Proofs of Concept (PoCs) using AI
new apps, CRM features, automation bots).
new Salesforce AI releases and recommend pilots / adoption (Einstein
Copilot, Prompt Studio, Model Builder).
internal teams on prompt best practices and AI ethics.
Requirements
Required Skills :experience with Salesforce platform (Sales Cloud, Service
Cloud, Experience Cloud, Apex, Flows, LWC).
with Einstein GPT , Prompt Studio , and / or Einstein
Prediction Builder .
understanding of AI / ML concepts (fine-tuning, large language
models, bias, training data).
with Salesforce metadata structure, API integration, and Data Cloud (CDP).
using tools like ChatGPT , Copilot , FlowGPT , or Salesforce
CodeGen is a plus.
written and verbal communication for prompt writing and documentation.
Preferred Qualifications :
Certified Administrator
Certified Platform Developer I
Certified AI Associate
Einstein Analytics and Discovery Consultant (preferred)
in AI / ML engineering, NLP, data science, or related fields (bonus).
Benefits
100% employee paid benefits
Opportunites for professional growth and networking
Ai Engineer • Sunrise, Florida, United States