AI Architect

3 weeks ago

New Delhi, India BIG Language Solutions Full time

AI Architect (LLMs, RAG, Vertex AI)Position: AI ArchitectExperience Required: 12–15 YearsLocation: Noida(Work from Office)Employment Type: Full-TimeShift: US Shift________________________________________About the RoleWe 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.________________________________________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.________________________________________Required Skills & Experience• 12–15 years of overall experience in software/AI engineering, with at least 5+ years in AI architecture and applied ML.• Proven expertise in LLM development, fine-tuning, and RAG implementation using open-source frameworks.• Strong experience with Google Vertex AI (Model Registry, Pipelines, Workbench, and Model Deployment).• Proficiency in Python, TensorFlow, PyTorch, LangChain, Hugging Face Transformers.• Hands-on experience with Vector Databases (Pinecone, Weaviate, Milvus, pgvector, FAISS).• Familiarity with retrieval, embeddings (OpenAI, Vertex, Cohere, Hugging Face), and knowledge graphs.• Deep understanding of MLOps pipelines, CI/CD for AI, and cloud-based ML lifecycle management.• Experience integrating models with APIs, RESTful services, and microservices architectures.• Strong grounding in AI model governance, bias detection, and ethical AI frameworks.________________________________________Preferred Qualifications• Experience with multi-cloud AI architectures (AWS Sagemaker, Azure ML, GCP Vertex AI).• Familiarity with GenAI orchestration frameworks (LangChain, LlamaIndex, DSPy).• Contributions to open-source AI/ML repositories or model development communities.• Certifications in AI/ML Engineering, Cloud AI Architecture (GCP Professional ML Engineer).• Exposure to RAG-based enterprise chatbots or domain-specific LLM deployments.Think global. Think BIG.Visit us: https://biglanguage.comLinkedin: https://www.linkedin.com/company/big-language-solutions/mycompany/

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