AWS Senior Architect with AIOps - Denver, CO (Onsite)

KTek Resourcing; Denver (CO); On-site; USD 130,000 - 150,000; Full time

Job summary

A leading tech consulting firm is seeking an experienced AWS Senior Architect for AIOps implementation in Denver, CO. You will design and implement innovative AI frameworks to enhance telecom network performance. We're looking for candidates with at least 8 years in cloud architecture and proven AI/ML implementation experience. This role requires strong leadership and collaboration skills in a fast-paced environment, utilizing AWS technologies for optimal network operations.

Qualifications

• Minimum of 8 years of experience in cloud architecture, focusing on AWS.
• Proven experience in implementing AI/ML solutions in a telecom environment.
• Strong understanding of AI/ML concepts and tools.

Responsibilities

• Design and implement an AIOps framework using AWS AI technologies.
• Integrate ML models to predict network outages and optimize performance.
• Work closely with network engineers and data scientists.

Skills

AWS Cloud Architecture

AI/ML Solutions Implementation

Telecom Network Technologies

Leadership

Education

Bachelor's or Master’s degree in Computer Science, Information Technology, or related field

Tools

AWS EC2

AWS Lambda

AWS SageMaker

Amazon Bedrock

Amazon Neptune

Amazon GNN

Job description

AWS Senior Architect with AIOps - Denver, CO (Onsite)

Role: AWS Senior Architect - AIOps Framework Implementation

We are seeking an experienced AWS Senior Architect to lead the implementation of an AIOps framework, leveraging AWS's latest AI technologies, including Amazon Bedrock, Amazon Neptune, Amazon GNN, and AI agentic layers and frameworks, to optimize our network technology services.

Job Summary

As the AWS Senior Architect, you will be responsible for designing and implementing an AIOps framework tailored for our telecommunications network services. You will utilize AWS's AI technologies and ANO capabilities to enhance network performance, predict and prevent outages, and automate network operations. This role requires a deep understanding of AWS cloud services, AI/ML solutions, and the telecom industry's unique challenges.

Key Responsibilities

• 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.
• 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.
• Implement AWS AI agentic layers and frameworks to facilitate autonomous decision‑making processes within network operations.
• 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.
• 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.
• Implement feedback mechanisms to continuously improve the AIOps framework.
• Stay updated with AWS's latest offerings and advancements in AI and network technologies.

Qualifications

• Education: Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 8 years of experience in cloud architecture, with a focus on AWS.
• Proven experience in implementing AI/ML solutions in a telecom environment.
• 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.
• Familiarity with telecom network technologies and protocols.
• Excellent problem‑solving and analytical skills.
• Strong communication and leadership abilities.
• Ability to work collaboratively in a fast‑paced environment.