Large Language Model Architect

Project Role : Large Language Model Architect
Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.
Must have skills : Large Language Models
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Senior GenAI Engineer, you will lead the design, development, and deployment of sophisticated AI solutions that leverage both traditional machine learning and cutting-edge generative AI techniques. You will apply your deep expertise in ML engineering, large language models (LLMs), retrieval-augmented generation (RAG), and orchestration frameworks to build scalable, production-ready AI applications. This role bridges advanced machine learning with GenAI innovation, ensuring both technical rigor and significant business impact. Key Responsibilities: · Lead the design and implementation of applications powered by LLMs, multimodal models, and generative architectures. · Fine-tune foundation models (e.g., with LoRA, PEFT) for domain-specific use cases. · Architect and optimize retrieval-augmented generation pipelines using vector databases (eg FAISS, Pinecone, Weaviate). · Guide integration of APIs and frameworks (LangChain, LlamaIndex, Semantic Kernel) into production systems. · Develop and deploy predictive ML models using frameworks such as PyTorch, TensorFlow, and Scikit-learn. · Build and maintain scalable data pipelines in collaboration with data engineers. · Implement and advocate for best MLOps practices related to automation, monitoring, CI/CD, and model retraining. · Design and refine evaluation frameworks for both predictive and generative models, focusing on accuracy, fairness, hallucination detection, and grounding. · Establish and continually improve monitoring systems for live models to ensure reliability and performance. · Work with cross-functional teams to align AI solutions with business goals and technical requirements. · Communicate advanced ML/GenAI concepts effectively to non-technical stakeholders for strategic alignment. Professional & Technical Skills:- AWS Sagemaker, Foundation Models, Evaluation, LLM Prompting, RAG, Vector databases, Python, Agentic, ML frameworks (e.g. LangChain, PyTorch, Scikit-learn), Architecture Design, Security Concepts. Working experience in Bedrock, Foundation Models, Evaluation, LLM Prompting, RAG, Python, Agentic AI. Extensive experience (15+ yrs) with 3 –4 yrs hands on experience in Gen AI.