What are the responsibilities and job description for the Gemini Architect position at Envision Technology Solutions?
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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.