Job Description
Job Summary
Key Requirements as follows:
· Build and deploy LLM-powered AI agents to automate and optimize new or existing business/product workflows.
- Evaluate and compare LLMs, agent frameworks, RAG and AI products to identify the best-fit solution for each use case.
- Analyze product gaps and recommend AI‑driven efficiency improvements.
- Design retrieval, tooling, and guardrails to ensure reliable, safe, and scalable agent behavior.
- Collaborate with product, engineering, and business teams to identify high‑impact AI opportunities.
· Create and deliver KT and enablement for teams to adopt AI agents effectively.
- Monitor performance using evaluation metrics, dashboards, and continuous improvement loops.
Key Responsibilities
Key Requirements as follows:
· Build and deploy LLM-powered AI agents to automate and optimize new or existing business/product workflows.
- Evaluate and compare LLMs, agent frameworks, RAG and AI products to identify the best-fit solution for each use case.
- Analyze product gaps and recommend AI‑driven efficiency improvements.
- Design retrieval, tooling, and guardrails to ensure reliable, safe, and scalable agent behavior.
- Collaborate with product, engineering, and business teams to identify high‑impact AI opportunities.
· Create and deliver KT and enablement for teams to adopt AI agents effectively.
- Monitor performance using evaluation metrics, dashboards, and continuous improvement loops.
Skill Requirements
Key Requirements as follows:
· Build and deploy LLM-powered AI agents to automate and optimize new or existing business/product workflows.
- Evaluate and compare LLMs, agent frameworks, RAG and AI products to identify the best-fit solution for each use case.
- Analyze product gaps and recommend AI‑driven efficiency improvements.
- Design retrieval, tooling, and guardrails to ensure reliable, safe, and scalable agent behavior.
- Collaborate with product, engineering, and business teams to identify high‑impact AI opportunities.
· Create and deliver KT and enablement for teams to adopt AI agents effectively.
- Monitor performance using evaluation metrics, dashboards, and continuous improvement loops.
Other Requirements
Key Requirements as follows:
· Build and deploy LLM-powered AI agents to automate and optimize new or existing business/product workflows.
- Evaluate and compare LLMs, agent frameworks, RAG and AI products to identify the best-fit solution for each use case.
- Analyze product gaps and recommend AI‑driven efficiency improvements.
- Design retrieval, tooling, and guardrails to ensure reliable, safe, and scalable agent behavior.
- Collaborate with product, engineering, and business teams to identify high‑impact AI opportunities.
· Create and deliver KT and enablement for teams to adopt AI agents effectively.
- Monitor performance using evaluation metrics, dashboards, and continuous improvement loops.
