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