Technical lead Agentforce

Job description

- 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, safe, 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