Info Way Solutions
AI Ops Lead Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Ops Lead Engineer in Denver, CO, with a contract length of 6+ months and a pay rate of "unknown." Candidates must have expertise in SageMaker and Bedrock, with 8+ years in AWS cloud architecture and AI/ML solutions.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 9, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Denver, CO
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🧠 - Skills detailed
#Monitoring #EC2 #ML (Machine Learning) #Amazon Neptune #AWS (Amazon Web Services) #Python #SageMaker #Computer Science #S3 (Amazon Simple Storage Service) #Scala #AI (Artificial Intelligence) #Lambda (AWS Lambda) #Cloud
Role description
GC, USC only
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.
1. 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.
1. Agentic AI Integration:
• Implement AWS AI agentic layers and frameworks to facilitate autonomous decision-making processes within network operations.
1. 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
GC, USC only
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.
1. 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.
1. Agentic AI Integration:
• Implement AWS AI agentic layers and frameworks to facilitate autonomous decision-making processes within network operations.
1. 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
