Job Description

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 robust 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 robust capabilities in containerization, orchestration, observability, and up-to-date 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 platforms
Design, build,



and manage containerized AI applications using Docker and orchestrate deployments via Kubernetes
Establish and maintain observability frameworks for LLMs, including performance monitoring, system health, and usage analytics
Develop and implement machine learning models using Python or R, leveraging frameworks such as TensorFlow, PyTorch, or scikit-learn
Build and deploy AI/ML solutions using cloud-native services such as AWS SageMaker, Azure AI, or Google Vertex AI
Design and implement multi-agent systems and Retrieval-Augmented Generation (RAG) architectures
Define and enforce standards for prompt engineering, vector search, and model orchestration
Build and manage enterprise-grade MLOps pipelines covering model training, fine-tuning, evaluation, deployment, and monitoring
Collaborate with cross-functional teams to integrate AI capabilities into enterprise products and platforms
Lead system optimization, performance tuning, and troubleshooting of AI-driven applications
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