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Salesforce Agentforce Technical Lead

India, Pune · Job Posted June 30, 2026
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Job Description

Lead the design, architecture, development, and deployment of Salesforce Agentforce and AI-powered solutions across enterprise implementations. Drive solution architecture for Agentforce, Einstein AI, Prompt Builder, Agent Builder, Data Cloud, and Salesforce platform capabilities. Collaborate with business stakeholders, solution architects, and product owners to gather requirements and translate them into scalable technical solutions. Provide technical leadership and guidance to development teams on Salesforce best practices, coding standards, design patterns, and AI implementation strategies. Design and develop custom Agentforce agents, topics, actions, prompts, conversation flows, and intelligent automation solutions. Lead the development of Apex classes, Lightning Web Components (LWC), Flows, integrations, and reusable framework components. Review technical designs, code, and configurations to ensure scalability, performance, security, and maintainability. Define integration strategies between Agentforce, Salesforce Clouds, Data Cloud, and external enterprise applications. Ensure AI governance, security, compliance, and responsible AI practices are incorporated into all Agentforce implementations. Manage technical risks, dependencies, and issue resolution while ensuring adherence to project timelines and quality standards. Mentor and coach Salesforce developers, conduct code reviews, and support team skill development. Participate in sprint planning, estimation, architecture reviews, client workshops, and executive-level technical discussions. Support deployment planning, release management, and post-production stabilization activities.

Job Responsibility

  • Lead the design, architecture, development, and deployment of Salesforce Agentforce and AI-powered solutions across enterprise implementations
  • Drive solution architecture for Agentforce, Einstein AI, Prompt Builder, Agent Builder, Data Cloud, and Salesforce platform capabilities
  • Collaborate with business stakeholders, solution architects, and product owners to gather requirements and translate them into scalable technical solutions
  • Provide technical leadership and guidance to development teams on Salesforce best practices, coding standards, design patterns, and AI implementation strategies
  • Design and develop custom Agentforce agents, topics, actions, prompts, conversation flows, and intelligent automation solutions
  • Lead the development of Apex classes, Lightning Web Components (LWC), Flows, integrations, and reusable framework components
  • Review technical designs, code, and configurations to ensure scalability, performance, security, and maintainability
  • Define integration strategies between Agentforce, Salesforce Clouds, Data Cloud, and external enterprise applications
  • Ensure AI governance, security, compliance, and responsible AI practices are incorporated into all Agentforce implementations
  • Manage technical risks, dependencies, and issue resolution while ensuring adherence to project timelines and quality standards
  • Mentor and coach Salesforce developers, conduct code reviews, and support team skill development
  • Participate in sprint planning, estimation, architecture reviews, client workshops, and executive-level technical discussions
  • Support deployment planning, release management, and post-production stabilization activities

Requirements

  • 7+ years of Salesforce implementation and development experience
  • 2+ years of experience leading Salesforce technical teams and enterprise implementations
  • Experience delivering multiple end-to-end Salesforce projects in a Technical Lead or Senior Developer capacity
  • Salesforce Platform Developer I Certification
  • Hands-on experience with Salesforce Agentforce, Einstein AI, Prompt Builder, Agent Builder, Copilot Actions, and Generative AI capabilities
  • Strong expertise in Apex, Lightning Web Components (LWC), Flows, Visualforce, Triggers, and Salesforce platform architecture
  • Experience designing enterprise-grade integrations using REST APIs, Platform Events, Middleware, and External Services
  • Strong understanding of Salesforce security architecture including Profiles, Roles, Permission Sets, Sharing Rules, and Data Governance
  • Experience with Data Cloud, CRM Analytics, and AI-driven customer engagement solutions
  • Ability to lead technical discussions, perform solution reviews, and provide architectural recommendations

Nice to have

  • Salesforce AI Specialist Certification and/or Agentforce Specialist Certification
  • Salesforce Platform Developer II Certification
  • Salesforce Application Architect and/or System Architect Certification
  • Experience with Salesforce Data Cloud, Einstein GPT, and enterprise AI implementations
  • Experience leading Agile/Scrum delivery teams
  • Knowledge of Sales Cloud, Service Cloud, Experience Cloud, Marketing Cloud, and Omni-Channel solutions
  • Experience with Prompt Engineering, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Generative AI best practices
  • Experience with DevOps Center, Git, CI/CD pipelines, Copado, Gearset, or equivalent deployment tools
  • Experience with enterprise integration platforms such as MuleSoft
  • Strong stakeholder management, client-facing communication, and leadership skills
  • Experience defining technical roadmaps, governance frameworks, and Salesforce Center of Excellence (CoE) practices

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