Role: Design and implement the AI/Agent interaction layer that enables business users to interact with the prepared enterprise/HR data through prompts and intelligent orchestration.
Reports To: Solution/Data Architect / AI Delivery Head
Key Responsibilities:
Implement prompt and agent interaction patterns.
Develop business-question interpretation flows.
Implement intent/entity interpretation where required.
Connect agents to approved semantic/data access mechanisms.
Implement orchestration between user questions, business logic and data.
Develop guardrails for data access and response generation.
Validate accuracy and grounding of responses.
Test prompt variations and edge cases.
Support AI/Agent performance and response-quality tuning.
Document agent behavior and configuration.
Ensure agents do not bypass approved security and data-access mechanisms.
Mandatory:
3 to 6+ years in AI/ML/software engineering with recent LLM/GenAI experience.
Experience with LLM applications.
Prompt engineering.
Agent/orchestration concepts.
API integration.
Python or equivalent programming capability.
Solid understanding of grounding and enterprise data access.