- Design, configure, and deploy Agentforce agents within Salesforce to support automated customerfacing and internal service scenarios.
- Develop agent instructions, topics, and actions using Agentforce Studio and approved promptengineering practices.
- Integrate Agentforce with Salesforce Data Cloud to enable grounded, contextaware AI responses using unified customer and case data.
- Extend agent capabilities using Apex, Flows, and external API integrations where required.
- Tune and validate AI model settings to ensure highquality, protected, and compliant AIgenerated responses.

- Build and optimise Einstein Prompt Builder templates across multiple service and operational use cases.
- Apply structured promptengineering techniques (e.g., fewshot examples, structured outputs) to improve accuracy and consistency.




- Design prompts supporting scenarios such as case summarisation, recommended actions, anomaly detection, and knowledge retrieval.
- Manage prompt lifecycle activities, including testing, versioning, governance, and rollout across environments

- Build Apex classes and triggers supporting Data Cloud events, agent actions, and systemtosystem integration logic.
- Develop advanced Salesforce Flows to orchestrate AIassisted and humanassisted workflows.
- Apply Salesforce governorlimit best practices, ensuring scalability for highvolume automotive and customer data operations

📌 Technical lead Agentforce (India)
🏢 Tata Consultancy Services
📍 India