Job Title: AWS SENIOR ARCHITECT - AIOPS FRAMEWORK IMPLEMENTATION
Location: Denver CO
Duration: 12 Months
Visa: USC GC H1B and EAD
Contract Type: W2
Job Description
We are seeking an experienced AWS Senior Architect to lead the implementation of an AIOps framework leveraging AWSs latest AI technologies including Amazon Bedrock Amazon Neptune Amazon GNN and AI agentic layers and frameworks to optimize our network technology services.
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 AWSs 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 industrys unique challenges.
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 AWSs ANO capabilities to automate network monitoring and management.
Continuous Improvement:
- Implement feedback mechanisms to continuously improve the AIOps framework.
- Stay updated with AWSs latest offerings and advancements in AI and network technologies.
Education Qualifications:
- Bachelors or Masters 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 solutions in a telecom environment.
Technical 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.
- Familiarity with telecom network technologies and protocols.
Soft Skills:
- Excellent problem-solving and analytical skills.
- Strong communication and leadership abilities.
- Ability to work collaboratively in a fast-paced environment.
Preferred Qualifications:
-
- AWS Certified Solutions Architect Professional or similar certification.
- Experience with DevOps practices and tools.
- Knowledge of network automation tools and frameworks.
Job Title: AWS SENIOR ARCHITECT - AIOPS FRAMEWORK IMPLEMENTATION Location: Denver CO Duration: 12 Months Visa: USC GC H1B and EAD Contract Type: W2 Job Description We are seeking an experienced AWS Senior Architect to lead the implementation of an AIOps framework leveraging AWSs latest AI technol...
Job Title: AWS SENIOR ARCHITECT - AIOPS FRAMEWORK IMPLEMENTATION
Location: Denver CO
Duration: 12 Months
Visa: USC GC H1B and EAD
Contract Type: W2
Job Description
We are seeking an experienced AWS Senior Architect to lead the implementation of an AIOps framework leveraging AWSs latest AI technologies including Amazon Bedrock Amazon Neptune Amazon GNN and AI agentic layers and frameworks to optimize our network technology services.
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 AWSs 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 industrys unique challenges.
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 AWSs ANO capabilities to automate network monitoring and management.
Continuous Improvement:
- Implement feedback mechanisms to continuously improve the AIOps framework.
- Stay updated with AWSs latest offerings and advancements in AI and network technologies.
Education Qualifications:
- Bachelors or Masters 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 solutions in a telecom environment.
Technical 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.
- Familiarity with telecom network technologies and protocols.
Soft Skills:
- Excellent problem-solving and analytical skills.
- Strong communication and leadership abilities.
- Ability to work collaboratively in a fast-paced environment.
Preferred Qualifications:
-
- AWS Certified Solutions Architect Professional or similar certification.
- Experience with DevOps practices and tools.
- Knowledge of network automation tools and frameworks.
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