AI Architect (LLMs, RAG, Vertex AI)

AI Architect (LLMs, RAG, Vertex AI)

Position : AI Architect

Experience Required : 12–15 Years

Location : Noida(Work from Office)

Employment Type : Full-Time

Shift : US Shift

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About the Role

We are seeking a highly skilled AI Architect with deep expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Vertex AI platform to design, build, and deploy enterprise-grade AI solutions. The ideal candidate will have hands-on experience in building and fine-tuning open-source foundation models, integrating AI / ML pipelines within cloud ecosystems, and defining scalable AI architectures aligned to business needs.

This role requires a balance of technical innovation, architectural leadership, and practical implementation to accelerate enterprise AI adoption.

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Key Responsibilities

• Architect and lead the development of LLM-based solutions using open-source and proprietary models (Llama, Falcon, Mistral, GPT-J, etc.).
• Design and implement RAG frameworks for enterprise use cases combining vector databases, embeddings, and document stores.
• Leverage Vertex AI for model training, fine-tuning, monitoring, and lifecycle management.
• Build scalable AI pipelines and inference architectures using Python, TensorFlow, PyTorch, and LangChain frameworks.
• Develop prompt engineering and optimization strategies for model reliability and contextual accuracy.
• Collaborate with data engineers to design data pipelines for model training and evaluation.
• Integrate AI models with enterprise systems via APIs and microservices architectures.
• Define AI governance, ethical AI practices, and model performance KPIs.
• Mentor cross-functional teams in AI / ML model development, deployment, and MLOps practices.
• Evaluate new technologies, foundation models, and research to enhance AI platform capabilities.

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Required Skills & Experience

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Preferred Qualifications

Think global. Think BIG.

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