Role: AWS AI Architect
Location: Denver, CO - Hybrid
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.