Job Title: AWS Senior Architect AIOps Framework Implementation
(AWS + AIOps Architect)
Location: Denver, CO
Work Model: Hybrid (4 days onsite, 1 day remote)
Employment Type: Contract
Job Summary
We are seeking an experienced AWS Senior Architect to lead the design and implementation of an AIOps framework for large-scale telecommunications network services. This role will leverage AWS advanced AI capabilities, including Amazon Bedrock, Amazon Neptune, Graph Neural Networks (GNNs), and agentic AI frameworks, to improve network performance, automate operations, and proactively detect and prevent outages.
The ideal candidate brings deep expertise in AWS cloud architecture, AI/ML-driven operations, and telecom network environments, with the ability to translate complex operational challenges into scalable, intelligent cloud solutions.
Key Responsibilities
< data-start="1238" data-end="1270">AIOps Framework Development>Design and implement a robust AIOps framework using AWS AI/ML services to automate network operations.
Develop predictive models to identify network anomalies, performance degradation, and potential outages.
Enable proactive and self-healing network capabilities using AI-driven insights.
Architect highly available, scalable, and secure AWS solutions to support AIOps initiatives.
Utilize Amazon Bedrock for foundation models and generative AI use cases.
Implement Amazon Neptune for graph-based data modeling of network relationships.
Apply Graph Neural Networks (GNNs) to analyze complex network topologies and dependencies.
Implement agentic AI layers and frameworks to enable autonomous decision-making in network operations.
Integrate AI agents for incident response, root cause analysis, and automated remediation.
Leverage AWS ANO (Autonomous Network Operations) capabilities for intelligent monitoring and control.
Partner with network engineering, data science, and operations teams to deliver AIOps solutions.
Lead architecture reviews, technical workshops, and solution design sessions.
Provide technical leadership and guidance on AI-driven network transformation initiatives.
Evaluate and integrate AWS services such as SageMaker, Rekognition, Comprehend, Lambda, and Step Functions.
Drive adoption of best practices for AI, ML, and cloud-native architectures.
Assess emerging AWS AI services and recommend enhancements to the AIOps platform.
Establish feedback loops and performance metrics to continuously optimize AIOps outcomes.
Ensure solutions remain aligned with evolving business and network requirements.
Stay current with AWS innovations, AI trends, and telecom technology advancements.
Required Qualifications
< data-start="3279" data-end="3293">Education>Bachelor s or Master s degree in Computer Science, Information Technology, Engineering, or a related field.
8+ years of experience in cloud architecture, primarily on AWS.
Proven experience delivering AI/ML or AIOps solutions in a telecommunications or network-intensive environment.
Hands-on experience designing enterprise-scale AWS architectures.
Deep expertise in AWS services including:
EC2, S3, VPC, Lambda, CloudFormation / Terraform
Amazon Bedrock
Amazon Neptune
Amazon SageMaker
Graph Neural Networks (GNNs)
Strong understanding of AI/ML concepts, including agentic AI frameworks.
Solid knowledge of telecom network technologies, protocols, and operations.
Experience with data pipelines, monitoring, and automation frameworks.
Strong analytical and problem-solving capabilities.
Excellent communication and stakeholder-management skills.
Ability to lead complex technical initiatives in a fast-paced environment.
Preferred Qualifications
AWS Certified Solutions Architect Professional (or equivalent).
Experience with DevOps and MLOps practices and tools.
Knowledge of network automation frameworks and orchestration tools.
Prior experience in large-scale network modernization or transformation programs.




