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 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 robust 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 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
-

📌 Gen AI (Gurugram)
🏢 Cognizant Softvision
📍 Gurugram