Senior Lead, GenAI

We are seeking a skilled GenAI Technical Lead to drive the implementation and optimization of AI solutions based on Agentforce and python, integrating AI-driven capabilities to enhance customer and agent experiences. This role requires expertise in Salesforce development, architecture, and AI technologies to lead strategic initiatives and ensure seamless system performance. You will be responsible for driving AI adoption for our commercial users. Key Responsibilities: Design, develop, and implement Salesforce Agentforce solutions with best practices and scalability. Integrate Einstein AI, python based GenAI solutions, chatbots, and predictive analytics to enhance automation and decision-making. Collaborate with business stakeholders and cross-functional teams to define roadmaps and technical solutions. Develop and maintain Apex, LWC, Visualforce, SOQL, GraphQL and REST/SOAP integrations. Optimize Agentforce flows, automations, and knowledge management for enhanced productivity. Lead a team of Salesforce developers, admins, and AI specialists. Should be able to quickly develop POC project(s) or develop prototype. Evaluate the performance of generative Al models & solutions and make necessary adjustments to improve the performance. Ensure data security, compliance, and governance. Monitor system performance and implement improvements. Stay updated with Salesforce and AI trends. Minimum Qualifications: 7 to 11 years of Salesforce development/architecture experience, focusing on Agentforce, Sales Cloud, Service Cloud, and AI-driven capabilities with the background of Btech. Experience with Salesforce AI tools like Einstein Analytics and Bots. Expertise in Apex, LWC, SOQL, REST/SOAP APIs, and integration patterns. Strong understanding of Salesforce data modeling, security, and governance. Experience with CI/CD, DevOps tools, Git, and Salesforce CLI. Salesforce certifications (Platform Developer 1 and 2, JavaScript Developer 1, Integrations Architect, AI Associate/Specialist, Sales Cloud Consultant, Service Cloud Consultant) preferred. Proficiency in programming languages such as Python, R & JAVA. Good understanding of Agentic AI and RAG (Retrieval Augmented Generation) Familiarity with popular Python AI frameworks and tools (e. g. , LangChain, LlamaIndex). Good to have - Strong knowledge of AI technologies, including machine learning, natural language processing, computer vision, etc. Hands on experience in architecture, design, implementation, and/or support of modern Data & AI solutions, experience of working with different LLM providers. Excellent problem-solving, communication, and leadership skills. Experience with Agile/Scrum methodologies. Excellent Presentation skills