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 recent 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.

Must Have Skill

Continuous Improvement,Gen AI,Retrieval-Augmented Generation (RAG),Large Language Models (LLMs),AI Business Value Metrics & ROI Modeling,AI Agents

Good to Have Skill

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.

📌 Senior Technical Lead (Bengaluru)
🏢 HCLTech
📍 Bengaluru