Part of the Salesforce Team to work on Sales, Service, Data Cloud, Experience Cloud, and Agentforce, focusing on design, development, and deployment of scalable and reusable solutions for enterprise
Key Accountabilities
Strategic Activities
Build solutions on Salesforce Service, Sales, Data Cloud, Experience Cloud, and Agentforce, leveraging standard functionalities and custom development where required.
Hands-on experience in Agentforce AI capabilities, including Agentic workflows, prompt orchestration, and autonomous agent design for customer service automation.
Develop Experience Cloud portals with personalized, responsive, and secure user experiences for B2B/B2C scenarios.
Usage of Vibe/Agentic coding patterns for intelligent automation and conversational flows within Salesforce ecosystems.
Integrate AI-driven case resolution, knowledge management, and predictive service features using Agentforce within Salesforce Service Cloud and Sales Cloud.
Ensure compliance with Salesforce governor limits and best practices while building advanced solutions using Flows, LWC, Apex, and AI-driven components.
Collaborate with product managers and stakeholders to prioritize features and enhancements aligned with strategic objectives.
Stay updated on Salesforce innovations, including Einstein Copilot, Agentforce orchestration, and generative AI integrations.
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Strong understanding of environment management, release management, code versioning best practices, and deployment methodologies
Any other additional responsibility could be assigned to the role holder from time to time as a standalone project or regular work.
Skills Required for the role
Strong technical expertise in Salesforce Clouds (Sales, Service, Data) and Agentforce AI
Proficiency in Vibe/Agentic coding, prompt engineering, and autonomous agent development.
Advanced knowledge of Flows, LWC, Apex, and AI-driven automation frameworks.
Experience in integrating conversational AI and intelligent workflows into Salesforce solutions
Familiarity with CTI Integration, Omni-Channel, Social Integration, and AI-powered case routing.
Strong problem-solving and decision-making skills for finding the right solutions to business problems
Key Performance Indicators (Change as per the role)
Development and Quality Assurance
Code Quality Assurance
Bugs/Defect Rate
Security & Architecture Compliance
Delivery and Efficiency
Delivery Time
Development Efficiency
Key Interfaces (Change as per the role)
Internal Interfaces
Senior Developer/Technical Leads
Collaborate with Architect/Technical Leads to understand project requirements and ensure alignment in software development efforts.
Project & Product Teams
Collaborate with project managers, designers, and other developers to understand project requirements and ensure alignment in software development efforts.
Communicate with product managers to clarify requirements, provide updates on development progress, and gather feedback on features and functionality.
QA
Work closely with QA testers to understand testing requirements, resolve issues, and ensure the quality of the software product.
Infrastructure team
Coordinate with IT to deploy and maintain software applications, address infrastructure requirements, and troubleshoot production issues.
External Interfaces
Third Party Vendors
Work closely with external vendors and suppliers providing guidance on providing documentation, support, and addressing any integration-related queries or issues.
Educational and Experience Requirements
Minimum Education Requirements
Bachelor's degree in a relevant field, such as computer science, information technology, or project management.
Minimum Requirement
Desired
Experience
4+ years of experience in Salesforce Service and Sales Cloud.
Hands-on experience in Service and Data Cloud developments and Agentforce AI orchestration.
Salesforce PD1 Certification (PD2 preferred).
Experience with AI-driven personalization.
Exposure to Einstein Copilot, Agentforce, and Vibe/Agentic coding frameworks.
Knowledge of IT best practices, AI ethics, and secure AI deployment
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