Role: AWS Engineer/Architect - AIOps Framework Implementation
Location:
Denver, CO - Hybrid
Duration: Long
Term Contract
Visa: Any
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.