Senior Technical Consultant- AI

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Job Category

Customer Success

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

• About the Role:

  We are looking for a highly skilled Senior Salesforce AI developer with over 6 years of experience in Salesforce CRM development and 2 years relevant expertise into developing AI solutions around Sales and Service Cloud using Salesforce Einstein.  The ideal candidate will be proficient in leveraging Salesforce Einstein AI capabilities and integrating custom AI models to optimize sales processes, customer engagement, and business operations.

  As a Salesforce AI Developer, you will collaborate closely with business stakeholders and technical teams to implement intelligent solutions that enhance decision-making and drive business growth. You will lead AI/ML initiatives across the organization, focusing on predictive analytics, automation, and personalized customer interactions within Salesforce.

  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.

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.