- 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.

- Integrate Einstein AI models, approved thirdparty LLMs via Model Builder, and retrievalaugmented generation (RAG) frameworks.
- Establish evaluation processes to measure response quality, factual accuracy, reduction of hallucinations, and business impact.

Troubleshoot AIrelated issues concerning grounding, prompt behavior, and model performance.

Role & responsibilities

Preferred candidate profile

📌 SF Agent force & Einstein Expert (India)
🏢 Tata Consultancy Services
📍 India