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Salesforce Agentforce Architect

NTT DATA · State of Mahārāshtra, India

~₹40L (est.)10–18 yrs experiencePosted 3w ago
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Job description

\\*\\*Offshore\\*\\* **### Responsibilities:** - Define and own the overall architecture, strategy, and roadmap for Salesforce Agentforce, Einstein AI, Data Cloud, and enterprise Salesforce implementations. - Lead architecture discussions with business stakeholders, enterprise architects, product owners, and technical teams to align AI-powered solutions with business objectives. - Design scalable, secure, and high-performing Agentforce solutions leveraging Agent Builder, Prompt Builder, Copilot Actions, Data Cloud, Einstein AI, and Salesforce platform capabilities. - Architect intelligent agents, conversation flows, topics, actions, prompts, and knowledge-driven experiences to automate business processes and enhance customer and employee engagement. - Establish architecture standards, governance frameworks, design principles, and best practices for Agentforce and Generative AI implementations. - Define enterprise integration architectures between Salesforce, Data Cloud, Agentforce, external applications, middleware platforms, and AI services. - Evaluate and recommend AI, Data Cloud, and Salesforce platform capabilities to address business challenges and drive digital transformation initiatives. - Lead solution design reviews, architecture governance boards, and technical assessments across multiple projects and programs. - Ensure scalability, performance, security, compliance, and responsible AI practices are embedded into all solution designs. - Provide technical leadership and mentorship to solution architects, technical leads, developers, and project teams. - Collaborate with business and technology leadership to define long-term Salesforce and AI adoption strategies. - Drive innovation by identifying emerging Salesforce AI capabilities and recommending adoption opportunities. - Support estimation, solution proposals, RFP responses, architecture documentation, and executive-level presentations. --- **### Qualifications:** **#### Required Skills / Qualifications:** - 10+ years of experience in Salesforce architecture, design, and implementation. - 3+ years of experience leading enterprise Salesforce architecture initiatives. - Proven experience architecting large-scale Salesforce solutions across multiple clouds and business domains. - Strong hands-on experience with Salesforce Agentforce, Einstein AI, Prompt Builder, Agent Builder, Copilot Actions, and Generative AI capabilities. - Deep expertise in Salesforce platform architecture, Apex, Lightning Web Components (LWC), Integration Patterns, Data Modeling, and Security Architecture. - Experience designing enterprise AI and Data Cloud solutions leveraging customer data, knowledge, automation, and conversational AI. - Strong understanding of Salesforce Well-Architected Framework, Enterprise Integration Patterns, and scalable cloud architectures. - Experience designing integrations using APIs, MuleSoft, Platform Events, Event-Driven Architecture, and External Services. - Expertise in Salesforce security architecture including Profiles, Permission Sets, Sharing Models, Data Governance, and Compliance standards. - Ability to engage with executive stakeholders and translate business strategy into technology roadmaps. --- **### Preferred:** - Salesforce Certified Application Architect. - Salesforce Certified System Architect. - Salesforce Certified Technical Architect (CTA) or CTA Candidate. - Salesforce AI Specialist Certification and/or Agentforce Specialist Certification. - Salesforce Data Cloud Consultant Certification. - Experience implementing Salesforce Data Cloud, Einstein GPT, Agentforce, and enterprise AI solutions. - Strong knowledge of Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Governance, and Responsible AI frameworks. - Experience with Sales Cloud, Service Cloud, Experience Cloud, Marketing Cloud, Revenue Cloud, and Industry Clouds. - Experience with enterprise integration platforms such as MuleSoft and API-led connectivity. - Experience defining Salesforce Center of Excellence (CoE), governance models, and enterprise architecture standards. - Strong consulting, stakeholder management, pre-sales, solutioning, and client advisory skills. - Experience leading global delivery teams and multi-million-dollar Salesforce transformation programs.