AI Ops Lead Engineer

AIOps Framework Development: Design and implement an AIOps framework using AWS AI technologies to automate and enhance network operations. Agentic AI Integration: Implement AWS AI agentic layers and frameworks to facilitate autonomous decision-making processes within network operations.

JOB_DESCRIPTION

Location - Denver, CO - Candidate does not have to be local for interview but needs to relocate to Denver, CO after confirmation for Hybrid 4 days onsite.

Duration - 6+ months
Skills - AI Ops Lead Engineer with SageMaker, Bedrock a must

Key Responsibilities:

1. 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.
2. 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.
3. Agentic AI Integration:
   • Implement AWS AI agentic layers and frameworks to facilitate autonomous decision-making processes within network operations.
4. Technology Evaluation and Implementation:
   • Evaluate and incorporate AWS AI services such as SageMaker, Bedrock, and Comprehend into network operations.
   • Leverage AWS's ANO capabilities to automate network monitoring and management.

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
• 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.
  • Python