Agent force & Salesforce Data cloud developer

• 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 Role & responsibilities

• 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.

• Configure Data Cloud Data Streams, Data Model Objects (DMOs), and identity resolution rules to build unified customer profiles.
• Ingest, harmonise, and transform data from CRM systems, telephony platforms, DMS feeds, and other enterprise sources.
• Create calculated insights, segmentation logic, and activation targets to support both AIdriven features and downstream business processes.

Configure secure data sharing and activation pathways between Data Cloud and Salesforce Core.

• 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.

Preferred candidate profile