AIA Principal Architect - Technology
Cognizant, Chicago, IL, United States
Job Summary
We are seeking a visionary Principal Architect to lead the design and implementation of enterprise-scale solutions leveraging Generative AI Large Language Models (LLMs) and AWS cloud services. This role requires deep technical expertise strategic thinking and the ability to architect innovative AI-driven use cases that transform business processes and customer experiences.
Responsibilities
Define and drive the technical architecture for Generative AI solutions across multiple business domains.
Design scalable and secure systems integrating LLMs (OpenAI Anthropic Hugging Face etc.) with AWS services (SageMaker Lambda ECS DynamoDB etc.).
Partner with product leaders to identify and prioritize AI use cases that deliver measurable business impact.
Establish best practices for model deployment fine-tuning and monitoring in production environments.
Lead proof-of-concept (POC) initiatives and guide teams in transitioning successful prototypes into enterprise-grade solutions.
Collaborate with data scientists ML engineers and UI developers to ensure seamless end-to-end system integration.
Provide technical leadership and mentorship to engineering teams fostering innovation and excellence.
Stay ahead of emerging trends in GenAI LLM architectures and cloud-native AI development.
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We are seeking a visionary Principal Architect to lead the design and implementation of enterprise-scale solutions leveraging Generative AI Large Language Models (LLMs) and AWS cloud services. This role requires deep technical expertise strategic thinking and the ability to architect innovative AI-driven use cases that transform business processes and customer experiences.
Responsibilities
Define and drive the technical architecture for Generative AI solutions across multiple business domains.
Design scalable and secure systems integrating LLMs (OpenAI Anthropic Hugging Face etc.) with AWS services (SageMaker Lambda ECS DynamoDB etc.).
Partner with product leaders to identify and prioritize AI use cases that deliver measurable business impact.
Establish best practices for model deployment fine-tuning and monitoring in production environments.
Lead proof-of-concept (POC) initiatives and guide teams in transitioning successful prototypes into enterprise-grade solutions.
Collaborate with data scientists ML engineers and UI developers to ensure seamless end-to-end system integration.
Provide technical leadership and mentorship to engineering teams fostering innovation and excellence.
Stay ahead of emerging trends in GenAI LLM architectures and cloud-native AI development.
#J-18808-Ljbffr