Gen AI & Agentic AI Architect

Role: Gen AI & Agentic AI Architect Location : Pan India Experience : 6 to 15 Years Notice Period : Immediate to 90 days Mode of Interview : In Person Gen AI & Agentic AI Architect About The Role: We are seeking a highly experienced GenAI & Agentic AI Architect with strong hands-on expertise to lead the design, development, and implementation of advanced AI solutions for our clients. This role requires a seasoned technical leader with over 8 years of architecture experience and deep knowledge of Azure and/or AWS cloud ecosystems, combined with strong capabilities in containerization, orchestration, observability, and modern AI frameworks. You will play a critical role in shaping next-generation AI systems, leveraging Generative AI and Agentic AI paradigms to build scalable, intelligent, and action-oriented solutions. Key Responsibilities Architect and develop scalable, high-performance Generative AI solutions on Azure and/or AWS platformsDesign, build, and manage containerized AI applications using Docker and orchestrate deployments via KubernetesEstablish and maintain observability frameworks for LLMs, including performance monitoring, system health, and usage analyticsDevelop and implement machine learning models using Python or R, leveraging frameworks such as TensorFlow, PyTorch, or scikit-learnBuild and deploy AI/ML solutions using cloud-native services such as AWS SageMaker, Azure AI, or Google Vertex AIDesign and implement multi-agent systems and Retrieval-Augmented Generation (RAG) architecturesDefine and enforce standards for prompt engineering, vector search, and model orchestrationBuild and manage enterprise-grade MLOps pipelines covering model training, fine-tuning, evaluation, deployment, and monitoringCollaborate with cross-functional teams to integrate AI capabilities into enterprise products and platformsLead system optimization, performance tuning, and troubleshooting of AI-driven applicationsEstablish best practices for secure, scalable, and maintainable AI architecturesMentor and guide AI engineering teams on emerging technologies and implementation best practicesStay current with advancements in Generative AI, Agentic AI, and cloud technologiesRequired Skills & Qualifications Minimum 8+ years of experience in a technical architecture roleProven expertise in Azure and/or AWS cloud architecturesStrong hands-on experience with Docker and KubernetesProficiency in Python or R with experience in TensorFlow, PyTorch, or scikit-learnDeep knowledge of MLOps practices and model deployment on AWS SageMaker, Azure AI, or Google Vertex AIExperience with multi-agent orchestration and RAG architecturesSolid understanding of prompt engineering, vector search, and LLM observability frameworksExperience with Spring Boot and microservices architectureStrong understanding of enterprise AI security, scalability, and governance principles .