- Design and develop AI agents using Agentforce and Data Cloud.
- Customize and configure Agentforce service agents, custom agents to meet specific business requirements.
- Integrate Data Cloud with Agentforce to leverage data for AI-driven decision-making powered by vector indexing with RAG.
- Ensure the security and compliance of AI agents with Salesforce's security standards, access and risk controls.
- Monitor and analyze the performance of AI agents, making necessary adjustments with prompt engineering to improve efficiency and effectiveness.
- Salesforce certified AI Associate, Salesforce certified Platform Developer-1 (3+ years)
- Hands on in APEX, LWC, Platform configuration, data modelling, Integrations, Einstein AI Prompts, Agentforce AI Actions, Types
- AI and Machine Learning: Understanding of AI concepts, large language models (LLMs), and their application in conversational AI.
- Salesforce Platform: Proficiency in Salesforce Lightning Experience, Flows, Apex, Integrations, JavaScript, and other relevant programming languages.
- Agentforce: Experience with Agentforce, MIAW, experience cloud, einstein bots, RAG search retrievers, Prompt Builder
- Data Cloud: Knowledge of Data Cloud (Data models, search index - chunking, embeddings) and its integration with Salesforce
- AI and Machine Learning: Understanding of AI concepts, large language models (LLMs), and their application in conversational AI.
- Salesforce Certified Platform Developer - 1 (certification date - 3+ years)
- Salesforce Certified AI Associate - mandatory
- Salesforce Certified AI Specialist - preferred
- Salesforce Certified Data Cloud Consultant - Nice to have
- 8+ years of experience in Salesforce echo system
TBD