Agentforce and Data Cloud Architect

The Agentforce and Data Cloud Architect (AFDC Architect) is a pivotal, customer-facing role focused on a single, transformative goal: enabling our customers to become a true Agentic Enterprise.As a strategic technical advisor, you will guide this transformation by mastering the key components of its success: Data and AI. Serving as our definitive Subject Matter Expert (SME) for Agentforce and Data Cloud, this is a deeply hands-on role for those who want to be immersed in our customers' real-life environments, data, and processes.We value deep and diverse expertise. Recognizing that the path to an "Agentic Enterprise" requires a sharp focus on both Data and AI, this role offers flexibility. Based on your unique background, skills, seniority, and passion, the balance between Data and AI in your role may vary. You will have the opportunity to specialize deeply in either Data Cloud or Agentforce, or master the integrated solutions of both.* Strategic Deal Support: Engage directly with the sales team on our most strategic accounts. Lead technical discovery, design, and presentation of Agentforce and Data Cloud solutions.* Workshops & Proof of Concepts (POCs): Define customer use cases and deliver compelling 1:1 workshops, customized demos, and hands-on POCs/Pilots that showcase the power of our platforms.* Solution Architecture & Recommendations: Develop detailed data architectures, provide specific SKU recommendations, and define credit consumption estimations.* Expert Collaboration: Serve as the deep product expert for Agentforce & Data Cloud, partnering with our global AI & Data teams to bring comprehensive domain expertise to every customer interaction.* Product Roadmap Advocacy: Work closely with Product Management to provide customers with insight into the product roadmap and ensure they have access to the latest innovations, creating a tight feedback loop between our customers and our product strategy.* Post-Sales Handover: Create and deliver comprehensive handover documentation to ensure a seamless transition for the customer to the post-sales and implementation teams.* Production Activation & Go-Live: Serve as the strategic advisor to guide customers from a successful POC to a full production deployment. While you will provide hands-on support to unblock technical challenges and activate initial use cases, you are not responsible for executing the go-live. Instead, you will collaborate closely with implementation partners, Salesforce Professional Services, or the customer’s own Center of Excellence who own the delivery.* Performance & Consumption Monitoring: Monitor initial credit consumption, fine-tuning solutions for optimal performance and providing guidance on updating the consumption plan as needed.* Customer Enablement: Develop and deliver one-to-many customer support motions (e.g., webinars, office hours) to scale knowledge and best practices.* Partner Ecosystem Scaling: Work closely with our most strategic partners, enabling them to build their own expertise and scale the activation of Agentforce and Data Cloud across the ecosystem.* Strategic Handoff: Ensure long-term customer success by managing the transition to other internal teams (Field Delivery Experts, Professional Services, Customer Success Managers) at the appropriate time.* **Demonstrated ability to lead technical pre-sales cycles, including delivering workshops, demos, and POCs.*** **Strong understanding of data integration patterns, APIs, and data governance principles.*** **Excellent communication, presentation, and stakeholder management skills, with the ability to build trust and influence both technical and business audiences.*** **A passion for innovation and a deep curiosity for artificial intelligence and business automation.*** **Willingness to complete a mandatory 6-week intensive training program alongside our Forward Deployed Engineers.*** **Fluency in English.******5+ years of experience in a customer-facing technical role** such as a Solution Architect, Sales Engineer, or Technical Architect. Previous experience in the Salesforce ecosystem is a plus.******Deep, proven hands-on experience with Salesforce Data Cloud**, including data modeling, ingestion, and identity resolution.*** **Big Data Processing, Data Architecture & Modeling, Modern Data Lakehouse Concepts. Familiarity with at least one of the Cloud providers offering (AWS, Microsoft Azure and Google Cloud (GCP)) and Databricks or Snowflake platforms.*** ****Certifications:** SalesforceAgentblazer Legend Status (which includes AI Specialist certification) and Data Cloud Consultant certification.****Experience with AI concepts and technologies: Large Language Models (LLMs)including concepts like transformers, tokens, and retrieval-augmented generation (RAG), vector databases, prompt engineering, familiarity with a major cloud provider (AWS, Azure, or GCP) and their AI services, agentic planning & reasoning, agentic frameworks, multi-agent design & orchestration**When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and *be your best*, and our AI agents accelerate your impact so you can *do your best*. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.#J-18808-Ljbffr