Key Responsibilities
- Lead the design , development , and implementation of AI-driven solutions using Salesforce Einstein features around Sales & Service cloud
- Collaborate with architects and AI engineers to design AI-driven solutions for predictive analytics, customer insights, and automation.
- Lead the integration of open AI models into Salesforce, utilizing languages such as Apex, Python, and Java to enhance Salesforce functionalities and user experience.
- Integrate third-party applications and data sources with Salesforce via APIs
- Collaborate with product managers, data scientists, and developers to ensure successful implementation of AI/ML solutions aligned with business goals.
- Implement automated workflows and intelligent data-driven decision systems within Sales Cloud, Service Cloud, and Marketing Cloud.
- Use Salesforce Einstein for natural language processing (NLP), image recognition, and predictive analytics to enhance customer service and sales strategies.
- Analyze customer data (including purchasing patterns, credit history, and demographics) to identify actionable insights and recommend tailored product offerings.
- Monitor and fine-tune AI models, ensuring accuracy and performance in live environments, and continuously improve them based on feedback and evolving business needs.
- Ensure data security and compliance standards are adhered to when handling sensitive customer information in AI/ML models.
Key Qualifications
- 6+ years of overall experience in Salesforce development with at least 2 + years of relevant hands-on experience in Salesforce AI Solutions development.
- Expertise in Salesforce Einstein AI features which includes Sales Cloud Einstein , Service Cloud Einstein , Einstein Copilot, Prompt Builder , Einstein Studio, Einstein Chatbot etc.
- Expertise in customizing applications using Apex, LWC and Lightning Flows
- Experience with data modeling, data integration using REST APIs and handling large datasets within Salesforce.
- Good understanding of machine learning algorithms, including classification, regression, clustering, and time series forecasting.
- Strong understanding of Salesforce architecture, including Sales and Service Cloud features.
- Familiarity with NLP, image recognition, sentiment analysis, and other AI applications to improve customer experience.
- Strong problem-solving skills and the ability to translate complex business needs into actionable AI/ML solutions.
- Strong understanding of natural language processing (NLP) and its application in creating effective AI prompts.
- Knowledge of AI governance, model explainability, and data ethics.
- Knowledge on leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP solutions
Preferred Skills ( Good To Have)
- Salesforce Certified in one or more areas: Einstein Analytics and Discovery Consultant, Salesforce Platform Developer II, or Salesforce Certified AI Associate.
- Experience in Salesforce Data cloud
- Experience with MLOps practices and automating model training and deployment within Salesforce.
- Experience working in industries such as banking, finance, or e-commerce with a focus on AI-driven customer insights.
- Hands-on experience in deploying and scaling AI models in cloud environments like AWS, Azure, or Salesforce Cloud.
- Experience with Einstein Analytics or Tableau CRM for building AI-driven dashboards and reports.
- Experience in Python, TensorFlow, or PyTorch for developing ML models.
- Experienced with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.
