Job Description:

• 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
• 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
• 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

Requirements:

• 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.

Benefits: