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Description
Job Overview We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills And Qualifications 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. Strong understanding of Salesforce data model, object architecture, and metadata management. Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. Expertise in integrating Salesforce with external data sources using APIs and middleware tools. Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications Salesforce Platform Developer I & II Salesforce Certified AI Associate or Einstein AI Certification (Preferred) Salesforce Application Architect or System Architect (Bonus) Nice To Have Experience working in Agile/Scrum environments. Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments. (ref:hirist.tech) Show more Show less
