CO
Full time
🤖 AI / ML
Gen AI & Agentic AI Architect at Cognizant
Listed by DevShelfHub
Hybrid, Pan India (Gurgaon and other locations)
Hybrid
Senior · 6–10 yrs
About the Role
Cognizant is hiring a Gen AI & Agentic AI Architect to lead the design, development, and implementation of advanced AI solutions for clients. Cognizant is an AI Builder and technology services provider bridging the gap between AI investment and enterprise value.
This role requires 6 to 15 years of experience with minimum 8+ years in a technical architecture role. Notice period: Immediate to 90 days. Mode of interview: In Person.
What you'll do
- You will lead design and implementation of advanced GenAI and Agentic AI solutions for enterprise clients.
- 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 Kubernetes
- Establish and maintain observability frameworks for LLMs
- Develop and implement ML models using Python or R with TensorFlow, PyTorch, or scikit-learn
- Build and deploy AI/ML solutions using AWS SageMaker, Azure AI, or Google Vertex AI
- Design and implement multi-agent systems and RAG architectures
- Define and enforce standards for prompt engineering, vector search, and model orchestration
- Build and manage enterprise-grade MLOps pipelines
- Collaborate with cross-functional teams to integrate AI capabilities into enterprise products
- Lead system optimization, performance tuning, and troubleshooting of AI-driven applications
- Establish best practices for secure, scalable, and maintainable AI architectures
- Mentor and guide AI engineering teams
What we're looking for
- Minimum 8+ years in a technical architecture role
- Proven expertise in Azure and/or AWS cloud architectures
- Strong hands-on experience with Docker and Kubernetes
- Proficiency in Python or R with TensorFlow, PyTorch, or scikit-learn
Skills & Technologies
Required
Minimum 8+ years in a technical architecture role
Proven expertise in Azure and/or AWS cloud architectures
Strong hands-on experience with Docker and Kubernetes
Proficiency in Python or R with TensorFlow, PyTorch, or scikit-learn
Deep knowledge of MLOps practices and model deployment on SageMaker, Azure AI, or Vertex AI
Experience with multi-agent orchestration and RAG architectures
Solid understanding of prompt engineering, vector search, and LLM observability frameworks
Experience with Spring Boot and microservices architecture
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This architect role offers hands-on leadership of scalable GenAI and agentic AI solutions on Azure and/or AWS with MLOps pipelines.
- Architect and develop scalable, high-performance Generative AI solutions on Azure and/or AWS
- Design, build, and manage containerized AI applications using Docker and Kubernetes
- Establish observability frameworks for LLMs including performance monitoring and usage analytics
- Develop ML models using Python or R with TensorFlow, PyTorch, or scikit-learn
- Build and deploy AI/ML solutions using AWS SageMaker, Azure AI, or Google Vertex AI
- Design multi-agent systems and Retrieval-Augmented Generation (RAG) architectures
- Build enterprise-grade MLOps pipelines for training, fine-tuning, evaluation, and monitoring
- Mentor and guide AI engineering teams on emerging technologies
- Hybrid work model across Pan India locations
About Cognizant
Cognizant builds full-stack AI solutions for clients with deep industry, process, and engineering expertise. This architect role shapes next-generation AI systems leveraging Generative AI and Agentic AI paradigms.
- Industry
- Technology
- Company Size
- 500+
- Website
- cognizant.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 6–10 years
- Location
- Hybrid, Pan India (Gurgaon and other locations)
- Work Mode
- Hybrid
- Category
- AI / ML
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