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Posted 13 June, 2026

Assistant Manager- Python Gen AI with GCP- Bangalore

KPMG
Bangalore,Karnataka,IN,560103 Full Time
Reference: 218_549848_30039893

The role is responsible for driving endtoend 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.

Qualification : Bachelor's or higher degree in Computer Science or a related discipline; or equivalent (minimum 6 years of overall work experience).
Experience Range: 6 to 7 years

Mandatory Skills

  • Overall experience upto 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

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