**Offshore**

### Responsibilities:

- 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.

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### Qualifications:
#### Required Skills / Qualifications:

- 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.

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### Preferred:

- 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.
- Solid stakeholder management, client-facing communication, and leadership skills.
- Experience defining technical roadmaps, governance frameworks, and Salesforce Center of Excellence (CoE) practices.

📌 Salesforce Agentforce Technical Lead (India)
🏢 NTT
📍 India