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.