AI-Powered Systems Engineer: Data Pipelines & Automation

Amazon

Austin (TX)

On-site

USD 129,000 - 175,000

Full time

12 days ago

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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon's Ops Tech Solutions (OTS) Data ANCHOR organization is seeking a Systems Development Engineer with a software development background and passion for AI/data systems to join our Decision Intelligence team. You will build and ship agentic AI solutions and AI-enabled data infrastructure that integrates with third-party platforms and Amazon internal systems.

You will turn designs and POCs into production-grade agents and data pipelines, owning Data MCPs and Analytical MCPs that power

Qualifications

  • Experience in a high-paced DevOps environment.
  • Experience designing and building applications using AWS services such as Lambda, Elastic Beanstalk, Kubernetes.
  • Bachelor's degree in Computer Science, Engineering, or related technical field; 3+ years of non-internship software development experience.
  • Experience with data management — streaming architectures, ETL/ELT processes, data modeling, or API-based data integration.

Responsibilities

  • Agent Development & Data-Driven AI Solutions.
  • Build AI agents and API integrations with ServiceNow and internal systems.
  • Develop Data MCPs and Analytical MCPs for self-service data access.

Skills

DevOps experience
Python/Java
Distributed systems
Data streaming

Education

Bachelor's degree in CS/Engineering or related field

Tools

AWS services (Lambda, Elastic Beanstalk)
Kubernetes
ETL/ELT data pipelines

Job description

Amazon's Ops Tech Solutions (OTS) Data ANCHOR organization is seeking a Systems Development Engineer with a software development background and passion for AI/data systems to join our Decision Intelligence team. You will build and ship agentic AI solutions and AI-enabled data infrastructure that integrates with third-party platforms and Amazon internal systems.

You will turn designs and POCs into production-grade agents and data pipelines, owning Data MCPs and Analytical MCPs that power

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