Gemini Enterprise SME/Developer

Design and develop conversational AI agents and agentic workflows using Gemini Enterprise.

Expose, manage, and govern the Looker Semantic Layer for AI consumption.

Integrate enterprise data sources, APIs, and business systems with AI agents.

Establish AI guardrails, security controls, governance, monitoring, and performance standards.

Define operating models, adoption KPIs, and user enablement strategies.

Provide guidance on enterprise AI architecture and best practices

5+ years of experience in software development, data/analytics, or AI solution delivery.

Hands-on experience with Generative AI, LLMs, conversational AI, and agent frameworks.

Google Gemini Enterprise, Vertex AI, Agent Development Kit (ADK).

Looker / LookML and semantic layer implementation.

RAG, Agentic AI architectures, vector databases, and AI observability.

Strong understanding of AI governance, security, and compliance.

Experience with semantic modeling, metadata management, and analytics platforms.

Proficiency in cloud platforms (Google Cloud Platform preferred, Azure/AWS acceptable).

Strong stakeholder communication and consulting skills.

Experience driving AI adoption and operating model transformation.