What are the responsibilities and job description for the Senior Generative AI (GenAI) Architect with Google Cloud Platform position at TekShapers?
Senior Generative AI (GenAI) Architect with Google Cloud Platform
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.
Required Skills & Qualifications
- 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.
Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.