About The Role

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.

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

Good 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

B. TECH/BE or higher