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