Generative AI Architect

Position: Generative AI Architect Location: Bangalore (Work from Office) Notice Period: Not more than 30 days SummaryWe are looking for a highly skilled Generative AI Architect to lead the design and development of an advanced AI platform leveraging Large Language Models (LLMs) and state -of -the -art Generative AI technologies. The ideal candidate will architect scalable, cloud -based systems capable of processing unstructured data such as technical PDFs, documents, and text, and transforming them into structured, actionable insights. This role requires deep expertise in AI architecture, LLM integration, cloud -based solutioning (AWS), and data engineering pipelines. The selected candidate will collaborate closely with data scientists, engineers, and product teams to design an end -to -end, production -grade AI ecosystem for real -world business applications. Key Skills Generative AI, Large Language Models (LLMs), AWS Cloud, AWS Bedrock, EC2, EKS, Microservices, AI Architecture, Machine Learning, Deep Learning, Transformer Models, Data Pipeline Engineering, Python, NLP, Prompt Engineering, Cloud Infrastructure, API Integration, AI Solution Design, Model Deployment, AI Optimization, Scalability, Security, Automation, MLOps, Technical Leadership, Cross -functional CollaborationRoles and ResponsibilitiesLead the architecture, design, and implementation of Generative AI solutions using LLMs and transformer -based models.Develop end -to -end AI platforms that convert unstructured data (e.g., PDFs, text documents) into structured, meaningful outputs.Design and manage cloud -native solutions on AWS leveraging services such as EC2, Bedrock, EKS, Lambda, and microservices architectures.Evaluate, integrate, and optimize LLMs and transformer -based models (such as GPT, Claude, Llama, or custom models) for specific business applications.Design and implement data pipelines to efficiently handle data ingestion, transformation, and processing for AI workflows.Collaborate with data scientists and engineers to ensure seamless integration between AI models, APIs, and backend systems.Define and implement AI governance, scalability, and performance optimization strategies for production environments.Drive innovation by researching emerging AI technologies and incorporating them into solution architectures.Establish best practices for Generative AI adoption, including prompt design, model fine -tuning, and responsible AI usage.Mentor and guide technical teams in AI solution design, model deployment, and architectural decision -making.Ensure all solutions adhere to security, compliance, and cost -efficiency standards within the cloud ecosystem.RequirementsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.8+ years of total experience in AI/ML system architecture, with 3+ years focused on Generative AI and LLM -based solutions.Proven expertise in designing and deploying AI systems leveraging LLMs, transformer architectures, and NLP techniques.Strong hands -on experience with AWS Cloud (EC2, Bedrock, EKS, Lambda, CloudFormation, VPC).Proficiency in data pipeline development and data engineering for AI/ML systems.Experience with containerized environments and microservices architecture.Proficiency in Python and experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain).Strong understanding of model optimization, scaling, and performance tuning for LLMs.Experience with API development and system integration for AI platforms.Excellent leadership, problem -solving, and communication skills with the ability to guide technical teams.Strong understanding of AI ethics, responsible AI practices, and data privacy standards. Requirements You will be working with company which based out of Bangalore, showcases the expertise in aerospace and ground transport industries, offering expertise and project management in domains like electrical systems, aerostructures, mechanical, software, systems engineering. It is part of the 3000+ strong engineering services, which is a specialized division of Electrical & Power.