Gemini Architect
US client via staffing partner · Remote - USA
- Location
- Remote - USA · Remote
- Salary band
- Band not stated
- Type
- Contract
- Level
- Senior
- Work authorization
- Not stated
Stack
Google Cloud Platform · Vertex AI · Python · REST APIs · Vector Databases · Prompt Engineering · RAG · Agentic Systems · UiPath · LLM · Machine Learning · Software Architecture · Cloud Engineering · Data Privacy · Compliance
About the role
Role - Gemini Architect Location – Remote - USA Contract Role JD: Required Technical Skills Experience: 5+ years in software architecture, cloud engineering, or machine learning. Cloud Skills: Strong expertise in Google Cloud Platform (GCP) and Vertex AI. Coding: Proficiency in Python, REST APIs, and vector databases. AI Knowledge: Deep understanding of prompt engineering, RAG (Retrieval-Augmented Generation), and agentic systems. Automation: Experience in Automation platforms like UiPath (preferred) or equivalent Key Responsibilities Design Systems: Understand Business problems and build scalable architectures using Google Cloud and Gemini models. Ability to understand current landscape of Automations and propose solutions to upgrade to Agents through scalable architecture Integrate AI: Ability to connect LLMs with enterprise data sources, APIs, and third-party connectors. Optimize Performance: Should be able to tune model outputs, manage token limits, and reduce latency. Lead Strategy: Guide technical and business teams on AI capabilities and deployment. Ensure Security: Implement data privacy, compliance, and governance standards for AI workloads.
Recruiter contact
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