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