Description

The role is responsible for driving end‑to‑end success of the Gemini Enterprise / NotebookLM enablement workstream, ensuring project objectives, timelines, and quality standards are achieved. Acts as the primary point of coordination between client stakeholders and technical teams while providing expert-level guidance on AI agent design, platform enablement, and integration considerations. This role might require to work from KPMG/Client office for 5 days a week.

Responsibilities

Mandatory Skills

- Overall experience upto 5+ years using Python with API development and 2+ years of experience in integrating LLM

- Hands-on experience using Google Vertex AI and Google ADK to design, test and configure AI Agents

- Hands-on experience in configuring, enabling and validating Gemini Enterprise features across environments

- Troubleshoot and resolve application issues, optimize performance and ensuring reliability





- Experience in deploying NotebookLM based capabilities and managing source integrations

- Experience in designing system prompts, user prompts and guardrails across the agents

- Evaluation and tuning of prompts for optimal responses

- Stakeholder management skills across functions

Valuable to Have Skills

- Experience in containerizing the application and hosting on Kubernetes
- Exposure to enterprise systems like Workday/ServiceNow/SharePoint/Google Drive/Sphere
- Experience in setting up data pipelines for model training and real-time inference
- Awareness of IAM roles, permissions, and policies related to Gemini Enterprise deployment.
- Hands-on experience in configuring, enabling and validating Gemini Enterprise features across environments

Qualifications

B. TECH/BE or higher

📌 Consultant - Python Developer with Gen AI using GCP (Bengaluru)
🏢 BSR
📍 Bengaluru