AI Ops Lead Engineer

Key Responsibilities:AIOps Framework Development:Design and implement an AIOps framework using AWS AI technologies to automate and enhance network operations.Integrate machine learning models to predict network outages and optimize performance.AWS Architecture Design:Develop scalable and reliable AWS cloud architecture that supports AIOps initiatives.Incorporate Amazon Bedrock for foundational AI models and Amazon Neptune for graph database solutions.Agentic AI Integration:Implement AWS AI agentic layers and frameworks to facilitate autonomous decision-making processes within network operations.Technology Evaluation and Implementation:Evaluate and incorporate AWS AI services such as SageMaker, Bedrock, and Comprehend into network operations.Leverage AWS's ANO capabilities to automate network monitoring and management.Qualifications:Education:Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.Experience:Minimum of 8 years of experience in cloud architecture, with a focus on AWS.Proven experience in implementing AI/ML solutionsTechnical Skills:Expertise in AWS services such as EC2, S3, Lambda, SageMaker , CloudFormation, Amazon Bedrock , Amazon Neptune, and Amazon GNN.Strong understanding of AI/ML concepts and tools, including agentic AI frameworks.Python