Job
Title: AWS Senior Architect - AIOps Framework Implementation
Location: [Denver,
CO; 4+1 Hybrid model]
Duration:
Long Term Contract
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:
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.
Continuous Improvement:
- 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.
- 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.