Job Description
**Job Summary**
We are seeking a highly experienced Architect with excellent hands-on skills to lead GenAI based development and implementation experience for the clients. The candidate should have at least 10 years of experience in a technical development role and possess deep expertise in Azure / AWS cloud-based architectures, containerization, orchestration, observability and with a focus on AI. The role requires a deep understanding of the latest AI technologies and techniques, as well as the ability to apply them to create advanced generative systems.
**Key Responsibilities**
+ Architect and develop innovative generative AI solutions with a focus on scalability and efficiency on the Azure /AWS cloud platform.
+ Implement and maintain containerized AI applications using Docker and manage deployments using Kubernetes.
+ Design and set up observability frameworks for LLMs to monitor performance metrics, system health, and usage patterns.
+ Collaborate with cross-functional teams to ensure seamless integration of AI capabilities into various products and services.
+ Lead performance tuning, troubleshooting, and optimization of generative AI systems.
+ Develop best practices for secure, scalable, and maintainable AI deployments on Azure/AWS.
+ Guide and mentor a team of AI engineers in adopting and implementing cutting-edge technologies and practices.
+ Stay updated with the latest advancements in AI, particularly in the areas of generative models and cloud computing.
+ Advocate for responsible AI development, ensuring ethical considerations and privacy compliance are embedded in our AI systems.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
We are seeking a highly experienced Architect with excellent hands-on skills to lead GenAI based development and implementation experience for the clients. The candidate should have at least 10 years of experience in a technical development role and possess deep expertise in Azure / AWS cloud-based architectures, containerization, orchestration, observability and with a focus on AI. The role requires a deep understanding of the latest AI technologies and techniques, as well as the ability to apply them to create advanced generative systems.
**Key Responsibilities**
+ Architect and develop innovative generative AI solutions with a focus on scalability and efficiency on the Azure /AWS cloud platform.
+ Implement and maintain containerized AI applications using Docker and manage deployments using Kubernetes.
+ Design and set up observability frameworks for LLMs to monitor performance metrics, system health, and usage patterns.
+ Collaborate with cross-functional teams to ensure seamless integration of AI capabilities into various products and services.
+ Lead performance tuning, troubleshooting, and optimization of generative AI systems.
+ Develop best practices for secure, scalable, and maintainable AI deployments on Azure/AWS.
+ Guide and mentor a team of AI engineers in adopting and implementing cutting-edge technologies and practices.
+ Stay updated with the latest advancements in AI, particularly in the areas of generative models and cloud computing.
+ Advocate for responsible AI development, ensuring ethical considerations and privacy compliance are embedded in our AI systems.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
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