SFDC Senior Solution Architect

This role is pivotal in leveraging AI to drive automation, enhance customer interactions, and streamline business processes through intelligent, AI-driven solutions. Key Responsibilities: Solution Design & Architecture: AI-Driven Solution Design: o Lead the design of AI-based solutions within Salesforce, especially focusing on integrating Generative AI into Agentforce to enhance customer service, automation, and agent productivity. o Develop scalable architecture models that support generative AI tools like Einstein GPT, LLM (large language models), and other AI capabilities within Salesforce. Generative AI Integration: o Drive the integration of Salesforce s AI capabilities with existing Salesforce modules such as Service Cloud, Sales Cloud, and custom Agentforce applications. o Work with AI technologies to design and build conversational agents, virtual assistants, and other AI-driven applications that optimize agent workflows and customer interactions. AI & Automation Strategy: Strategic Implementation: o Lead the development of AI strategies that enhance business capabilities using Salesforce AI tools, including automation of customer service functions, knowledge management, and AI-driven recommendations. o Ensure alignment of generative AI solutions with business objectives and industry best practices for AI adoption. Use Case Development: o Identify and prioritize AI use cases that provide maximum value for customer service and support teams using Agentforce, focusing on automating repetitive tasks, enhancing personalization, and improving response times. Technical Leadership: Architecture Governance: o Ensure best practices in AI architecture design, including scalability, security, performance, and compliance, with an emphasis on data privacy and AI ethics. o Provide technical leadership across AI initiatives, ensuring that solutions are robust, compliant, and adhere to the organization's standards and regulations. Collaboration & Mentorship: o Collaborate with product managers, data scientists, AI engineers, and Salesforce developers to bring AI-enabled solutions to life. o Mentor and guide junior architects and development teams on AI adoption and the technical implementation of Agentforce AI solutions. AI and Data Integration: Data Strategy & Management: o Oversee the integration of AI solutions with enterprise data sources to ensure the generative AI models have access to accurate, real-time data. o Ensure proper data governance, ensuring AI models adhere to security, compliance, and data privacy requirements. AI Model Optimization: o Optimize the use of large language models (LLMs) for generating responses, insights, and automating interactions in the Agentforce ecosystem. o Work closely with data scientists to fine-tune AI models, ensuring relevance, accuracy, and efficiency in the context of customer interactions. Innovation & Continuous Improvement: Innovation Leadership: o Stay current with the latest generative AI trends, tools, and technologies, continuously improving solutions by integrating cutting-edge AI capabilities into Salesforce Agentforce. o Explore new AI techniques such as natural language processing (NLP), machine learning (ML), and deep learning (DL) to advance Salesforce AI capabilities. AI Adoption and Best Practices: o Promote AI literacy and best practices within the organization, providing strategic advice to business leaders on AI adoption and its long-term implications for customer service operations. o Advocate for AI-driven innovation across business processes and functions. Key Requirements: Experience: AI Experience: o Extensive experience (5+ years) in implementing AI solutions, with specific experience in integrating generative AI (such as GPT-based models, LLMs, NLP) into enterprise systems. o Proven track record in designing and implementing Salesforce AI capabilities, including Einstein AI, Salesforce Automation, and AI-powered Agentforce solutions. Salesforce Experience: o Strong background in Salesforce architecture (5+ years), with expertise in Service Cloud, Sales Cloud, or other Salesforce modules. o Hands-on experience with Salesforce development tools such as Apex, Visualforce, Lightning Components, and integrations using Salesforce APIs. Technical Skills: Generative AI & LLM: o Expertise in generative AI, with experience deploying models such as GPT-3/4, LLaMA, or custom NLP models to automate and enhance business processes. o Familiarity with AI development frameworks and cloud-based AI services (e.g., TensorFlow, PyTorch, AWS SageMaker, Google AI). Salesforce Technologies: o Advanced understanding of Salesforce architecture, customization, and integration tools. o Experience working with Einstein GPT and other AI-based Salesforce solutions. Certifications: Salesforce Certifications: o Salesforce Certified Technical Architect (CTA) or Salesforce Certified Application Architect is highly preferred. o Other certifications such as Salesforce Service Cloud Consultant or Salesforce Einstein Analytics and Discovery Consultant are desirable. AI/ML Certifications: o AI certifications such as Google Professional Machine Learning Engineer, AWS Certified Machine Learning, or similar AI/ML credentials are advantageous. Soft Skills: Strong communication skills, with the ability to convey complex AI concepts to non-technical stakeholders. Leadership and collaboration skills to drive cross-functional AI initiatives. Strategic thinking to align AI solutions with long-term business goals. Industry Knowledge: Experience in industries that rely heavily on customer support and service (e.g., telecom, retail, financial services) is advantageous. Understanding of AI-related compliance and data privacy regulations (GDPR, CCPA).