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.