AWS Senior Architect - AIOps Framework Implementation

Role: AWS Senior Architect – AIOps Framework Implementation

Location: Denver, CO (Hybrid – 4 days/week onsite)

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Role Overview:

We are seeking a highly skilled AWS Senior Architect to drive the design and implementation of an advanced AIOps framework for telecommunications network services. This role will focus on leveraging cutting-edge AWS AI/ML capabilities—including foundation models, graph technologies, and agentic AI frameworks—to improve network reliability, automate operations, and enable predictive insights.

The ideal candidate will bring deep expertise in AWS architecture, AI/ML integration, and telecom network environments, along with the ability to lead cross-functional initiatives and influence technical strategy.

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Key Responsibilities:

< data-start="985" data-end="1025">AIOps Strategy & Implementation

• Architect and deliver a scalable AIOps framework to enhance network monitoring, automation, and operational intelligence
• Integrate machine learning models to predict outages, detect anomalies, and optimize network performance
• Leverage observability and monitoring tools such as New Relic, Splunk, and Prometheus to support AIOps capabilities

< data-start="1393" data-end="1436">AWS Architecture & Solution Design

• Design robust, secure, and scalable AWS cloud architectures to support AI-driven network operations
• Utilize services such as Amazon Bedrock for generative AI capabilities and Amazon Neptune for graph-based data modeling
• Implement Graph Neural Network (GNN) solutions using AWS capabilities to analyze complex network relationships

< data-start="1797" data-end="1841">Agentic AI & Intelligent Automation

• Develop and integrate agent-based AI frameworks to enable autonomous decision-making and self-healing network operations
• Build intelligent workflows that reduce manual intervention and improve operational efficiency

< data-start="2071" data-end="2104">Cloud-Native Development

• Design and develop modern, cloud-native applications using microservices and container-based architectures
• Work with technologies such as JavaScript, TypeScript, Python, and React.js to build scalable enterprise solutions

< data-start="2344" data-end="2396">Cross-Functional Collaboration & Leadership

• Partner with network engineers, data scientists, and operations teams to implement AIOps solutions effectively
• Lead architecture discussions, design reviews, and technical workshops to promote adoption and best practices

< data-start="2631" data-end="2672">AI/ML & AWS Services Integration

• Evaluate and implement AWS AI/ML services such as SageMaker, Rekognition, and Comprehend within the AIOps ecosystem
• Apply AWS capabilities for automated network operations (ANO) to improve monitoring, alerting, and response

< data-start="2914" data-end="2946">Continuous Optimization

• Establish feedback loops and performance metrics to continuously enhance the AIOps framework
• Stay current with advancements in AWS, AI/ML, and telecom technologies to drive innovation

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Required Qualifications:

< data-start="3182" data-end="3200">Education

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related discipline

< data-start="3305" data-end="3324">Experience

• Minimum 8+ years of experience in cloud architecture, with strong focus on AWS
• Proven experience implementing AI/ML-driven solutions, preferably within telecom or network environments

< data-start="3526" data-end="3554">Technical Expertise

• Strong hands-on experience with AWS services including EC2, S3, Lambda, CloudFormation, SageMaker, Bedrock, Neptune, and GNN-related capabilities
• Solid understanding of AI/ML concepts, including modern agentic AI frameworks
• Familiarity with telecommunications networks, protocols, and operational challenges
• Experience with observability tools such as New Relic, Splunk, and Prometheus

< data-start="3974" data-end="3994">Soft Skills

• Strong analytical and problem-solving capabilities
• Excellent communication skills with ability to engage senior stakeholders
• Proven leadership skills and ability to work in collaborative, fast-paced environments

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Preferred Qualifications:

• AWS certification such as Solutions Architect – Professional
• Experience with DevOps practices, CI/CD pipelines, and automation tools
• Knowledge of network automation frameworks and tools