taleo
Gen AI & Agentic AI Architect
Cognizant
IND
Full-time
Senior · 8+ years experience
Onsite
Discovered 3 weeks ago
AWSDockerKubernetesPythonRTensorFlow
Free
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Role Overview
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 Skills for This Role
AWSDockerKubernetesPythonRTensorFlow
Full Job Posting
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 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
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