AI Ops Lead Engineer

Title: AI Ops Lead Engineer (W2)
Location: Denver, CO (Hybrid)

Job Description
Minimum of 8 years of experience in cloud architecture, focusing on AWS.
Proven experience implementing AI/ML solutions in a telecom environment.

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.
Utilize Amazon GNN for graph neural network applications in network topologies.

Agentic AI Integration:
Implement AWS AI agentic layers and frameworks to facilitate autonomous decision-making processes within network operations.

Collaboration and Leadership:
Work closely with cross-functional teams, including network engineers, data scientists, and operations, to implement AIOps solutions.
Lead technical discussions and workshops to drive AIOps adoption.

Technology Evaluation and Implementation:
Evaluate and incorporate AWS AI services such as SageMaker, Rekognition, and Comprehend into network operations.
Leverage AWS's ANO capabilities to automate network monitoring and management.