Salesforce AgentForce Developer (Generative & Agentic AI Specialist)
Job Summary:
We are seeking a highly skilled Salesforce AgentForce Developer with strong expertise in Generative AI and Agentic AI architectures. The ideal candidate will design, develop, and deploy intelligent autonomous agents using Salesforce AgentForce while leveraging Salesforce AI capabilities such as Einstein, Prompt Builder, Data Cloud, and the Trust Layer.
This role requires deep knowledge of all key components of Salesforce AgentForce and a solid understanding of modern AI systems, including LLMs, prompt engineering, AI governance, and enterprise-grade AI architecture.
Key Responsibilities:
Salesforce AgentForce Development:
Design and build AI-powered agents using Salesforce AgentForce
Configure and manage:
Agent Builder
Topics
Actions (Flow, Apex, API-based)
Prompt Templates
Channels & deployment configurations
Implement end-to-end agent workflows integrating Salesforce Clouds (Sales, Service, Experience, Marketing)
Develop custom Apex logic and Lightning Web Components (LWC) to extend agent capabilities
Integrate external systems via REST/SOAP APIs
Generative & Agentic AI Implementation:
Design and implement generative AI solutions using Prompt Builder and LLM integrations
Apply prompt engineering best practices for performance, tone, safety, and accuracy
Architect agentic workflows involving reasoning, multi-step task execution, and decision-making
Implement Retrieval-Augmented Generation (RAG) patterns where applicable
Ensure AI governance, security, and compliance using Salesforce Einstein Trust Layer
Optimize AI model performance and response evaluation
Architecture & Governance
Define scalable AI architecture within Salesforce ecosystem
Implement data governance and security policies for AI-driven workflows
Collaborate with Solution Architects, Data Architects, and Business Stakeholders
Follow DevOps best practices using Salesforce DX, CI/CD pipelines
Conduct code reviews, testing, and performance tuning
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field
5+ years of Salesforce development experience
Hands-on experience with Salesforce AgentForce implementation
Strong knowledge of: Agent Builder; Topics & Actions; Prompt Builder; Einstein AI; Salesforce Flows; Apex & LWC; Salesforce APIs; Data Cloud; Einstein Trust Layer
Solid understanding of: Generative AI concepts; Large Language Models (LLMs); Agentic AI frameworks; Prompt engineering; RAG architecture; AI safety & governance; Model evaluation techniques
Required Certifications (Mandatory) - Salesforce Platform Developer I & II; Salesforce AI Specialist; Salesforce AgentForce Specialist; Salesforce Data Cloud Consultant; Salesforce Application or System Architect; AI/ML certification from recognized institutions (e.g., AWS AI Specialty, Azure AI Engineer Associate, Google Professional ML Engineer)
Must have knowledge of Apex & Lightning Web Components (LWC); Flows & Automation; REST API Integrations; Prompt Engineering; Generative AI Architecture; Agentic Workflow Design
CI/CD & DevOps (Git, Copado, Gearset, Azure DevOps); JSON, JavaScript, Python
Excellent communication and stakeholder management skills
This is a remote position.
Apply To This Job
We are seeking a highly skilled Salesforce AgentForce Developer with strong expertise in Generative AI and Agentic AI architectures. The ideal candidate will design, develop, and deploy intelligent autonomous agents using Salesforce AgentForce while leveraging Salesforce AI capabilities such as Einstein, Prompt Builder, Data Cloud, and the Trust Layer.
This role requires deep knowledge of all key components of Salesforce AgentForce and a solid understanding of modern AI systems, including LLMs, prompt engineering, AI governance, and enterprise-grade AI architecture.
Key Responsibilities:
Salesforce AgentForce Development:
Design and build AI-powered agents using Salesforce AgentForce
Configure and manage:
Agent Builder
Topics
Actions (Flow, Apex, API-based)
Prompt Templates
Channels & deployment configurations
Implement end-to-end agent workflows integrating Salesforce Clouds (Sales, Service, Experience, Marketing)
Develop custom Apex logic and Lightning Web Components (LWC) to extend agent capabilities
Integrate external systems via REST/SOAP APIs
Generative & Agentic AI Implementation:
Design and implement generative AI solutions using Prompt Builder and LLM integrations
Apply prompt engineering best practices for performance, tone, safety, and accuracy
Architect agentic workflows involving reasoning, multi-step task execution, and decision-making
Implement Retrieval-Augmented Generation (RAG) patterns where applicable
Ensure AI governance, security, and compliance using Salesforce Einstein Trust Layer
Optimize AI model performance and response evaluation
Architecture & Governance
Define scalable AI architecture within Salesforce ecosystem
Implement data governance and security policies for AI-driven workflows
Collaborate with Solution Architects, Data Architects, and Business Stakeholders
Follow DevOps best practices using Salesforce DX, CI/CD pipelines
Conduct code reviews, testing, and performance tuning
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field
5+ years of Salesforce development experience
Hands-on experience with Salesforce AgentForce implementation
Strong knowledge of: Agent Builder; Topics & Actions; Prompt Builder; Einstein AI; Salesforce Flows; Apex & LWC; Salesforce APIs; Data Cloud; Einstein Trust Layer
Solid understanding of: Generative AI concepts; Large Language Models (LLMs); Agentic AI frameworks; Prompt engineering; RAG architecture; AI safety & governance; Model evaluation techniques
Required Certifications (Mandatory) - Salesforce Platform Developer I & II; Salesforce AI Specialist; Salesforce AgentForce Specialist; Salesforce Data Cloud Consultant; Salesforce Application or System Architect; AI/ML certification from recognized institutions (e.g., AWS AI Specialty, Azure AI Engineer Associate, Google Professional ML Engineer)
Must have knowledge of Apex & Lightning Web Components (LWC); Flows & Automation; REST API Integrations; Prompt Engineering; Generative AI Architecture; Agentic Workflow Design
CI/CD & DevOps (Git, Copado, Gearset, Azure DevOps); JSON, JavaScript, Python
Excellent communication and stakeholder management skills
This is a remote position.
Apply To This Job