Job Title: AWS
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.