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.