Experience: 5+ Years
Job Summary
We are seeking a highly skilled AI/ML Builder with strong expertise in Salesforce and Generative AI technologies. The ideal candidate will design and implement intelligent, scalable, and secure AI-driven Salesforce solutions using Einstein, Einstein GPT, LLMs, and external AI/ML services. The role involves building advanced workflows, personalized recommendations, intelligent automation, RAG pipelines, and custom bots to enhance the Salesforce ecosystem.
Key Responsibilities
• Salesforce Development & Customization: Design, develop, test, document, and deploy scalable Salesforce solutions aligned with business requirements.
• Extend Salesforce functionality using Apex (Triggers/Classes), LWC, Aura, Visualforce, and Salesforce APIs.
• Build Salesforce applications with a focus on performance, security, and usability.
• AI/ML Development & Integration: Develop, train, and deploy AI/ML models for automation, predictions, scoring, forecasting, and real-time decision-making.
• Integrate AI/ML solutions into Salesforce CRM using both native (Einstein/Einstein GPT) and external technologies (Python-based models, Azure/AWS ML services).
• Design and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and LLMs for deep contextual insights within Salesforce workflows.
• Build custom AI-powered automation solutions, including Einstein Bots and bespoke GenAI-driven bots for sales and service processes.
• Architecture, DevOps & Performance: Manage end-to-end CI/CD processes using Git and modern deployment tools.
• Ensure production-grade scalability, reliability, and performance of AI/ML pipelines.
• Implement best practices for data security, compliance, and governance—especially for sensitive customer data.
• Monitor model accuracy, maintain feedback loops, and continuously fine-tune AI systems for improved user experience.
Collaboration & Innovation
• Work closely with product managers, engineering teams, and data teams to identify opportunities for AI-driven enhancements.
• Stay current with advancements in Generative AI (transformers, LLMs, enterprise tools) and evaluate their applicability to business use cases.
Must-Have Skills
• 5–7 years of experience in Power BI development and implementation (Dashboarding, Analytics, Reporting).
• Strong expertise in building and deploying AI/ML models for automation and decision-making.
• Deep experience integrating AI/ML capabilities with Salesforce CRM (Einstein, Einstein GPT, Python models, Azure/AWS ML services).
• Solid understanding of Generative AI concepts: LLMs, transformers, vector databases, RAG pipelines.
• Hands‑on experience with Apex, LWC, Aura, Salesforce APIs, and custom automation frameworks.
• Strong problem‑solving skills, analytical thinking, and the ability to work in cross‑functional environments.
Good to Have
• Salesforce certifications (AI Associate, Admin, Platform Developer).
• Experience with MLOps tools and cloud services (AWS Sagemaker, Azure ML, GCP AI Platform).
• Knowledge of DevOps tooling: Copado, Azure DevOps, GitLab, Jenkins.
• Experience with building conversational AI or multi‑agent workflow pipelines.
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