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
