Generative AI (GenAI) Architect with Google Cloud Platform
Role details
Job location
Tech stack
Requirements
We are seeking a highly skilled Senior Generative AI Architect to lead the design, development, and deployment of enterprise-grade GenAI solutions. The ideal candidate will possess deep technical expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic workflows, and cloud-native architecture. This role requires hands-on proficiency, strong architectural thinking, and the ability to translate complex business problems into scalable AI-driven systems., 1. 12+ years of experience in AI/ML, with at least 3+ years focused on Generative AI architectures.
- Demonstrated hands-on projects with LLMs, fine-tuning, RAG implementation, or agentic workflows.
- Portfolio of real-world deployments, POCs, or production systems.
Technical Expertise
- Strong foundation in LLM architecture, transformer models, model fine-tuning, and model evaluation techniques.
- Deep, hands-on experience designing RAG, agentic, and LLM-orchestration pipelines.
- Proficiency in Python and GenAI frameworks; ability to write, review, and optimize production-grade code.
- Solid understanding of computer vision, NLP, and multimodal systems is a plus-but must be secondary to GenAI expertise.
Architecture & Cloud
- Proven ability to design scalable, secure cloud architectures using AWS/Azure/Google Cloud Platform.
- Experience with API design, microservices, event-driven workflows, and distributed systems.
- Clear understanding of data ingestion, feature engineering, vector databases, and embeddings lifecycle.