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Job Description
Structured overview of role & requirementsAbout This Role
Drive end-to-end success of Gemini Enterprise / NotebookLM enablement workstream, ensuring project objectives, timelines, and quality standards are met.
Serve as primary coordinator between client stakeholders and technical teams, providing expert guidance on AI agent design, platform enablement, and integration.
Configure, enable, validate Gemini Enterprise features, deploy NotebookLM capabilities, troubleshoot applications, and optimize performance.
Minimum Requirements
Up to 5+ years experience in Python with API development and 2+ years integrating Large Language Models (LLM).
Hands-on experience with Google Vertex AI, Google ADK, and Gemini Enterprise feature configurations across environments.
B. TECH/BE degree or higher mandatory.
Ability to work onsite at KPMG/Client office 5 days a week.
Ideal Candidate Profile
Experienced in designing system prompts, user prompts, and guardrails for AI agents with prompt evaluation and tuning expertise.
Strong stakeholder management capabilities across functions, able to coordinate technical and client teams effectively.
Familiar with AI platform deployment involving containerization, Kubernetes, enterprise systems integration (Workday, ServiceNow, SharePoint, Google Drive), and data pipelines for model training and inference.