Python GenAI with GCP

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 3 to 7 years using Python with API development and 2 years of experience in integrating LLM Ability to deliver complex AI and cloud based projects using Agile methodologies 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 Qualifications Qualification : Bachelor’s or higher degree in Computer Science or a related discipline; or equivalent. Experience Range: 3 to 7 years