SysDev Eng, OTS - Data ANCHOR Team

Job summary

DESCRIPTION Are you a builder who gets energized turning ideas into production systems? Do you want to build AI-powered agents and data-driven solutions that solve real-world operational problems at Amazon's global scale? If working with GenAI, data infrastructure, streaming APIs, and shipping solutions fast excites you — this role is for you.

Qualifications

• Experience working in a high pace DevOps
• Experience with designing and building application using AWS services such as Lambda, AWS Elastic Beanstalk, Kubernetes
• Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent
• 3+ years of non-internship professional software development experience (Python, Java, or equivalent) with experience designing and building distributed systems or data platforms
• Experience with data management — streaming architectures, ETL/ELT processes, data modeling, or API-based data integration
• PREFERRED
• Experience with AI/ML

Responsibilities

• You will take designs and POCs and turn them into production-grade agents, MCPs (Model Context Protocols), and data-driven automation systems that drive measurable impact across Amazon's worldwide operations.
• Agent Development & Data-Driven AI Solutions
• Build and maintain agentic AI solutions — implementing agent orchestration logic, API integrations with ServiceNow (3P), and Amazon internal systems (1P)
• Develop Data MCPs and Analytical MCPs that enable AI agents and partners to consume, query, and act on operational data effectively
• Build and maintain streaming data connections and APIs that feed AI agents with real-time, high-quality data inputs
• Partner with Data Scientists and Data Engineers to implement AI-ready data pipelines, ensure data quality, and develop agent capabilities (LLM tool-use, prompt templates, RAG patterns)
• Translate POCs into production-ready systems with high code quality — writing tests, documentation, and monitoring from day one
• Data Architecture & System Integration
• Architect and build AI-enabled data infrastructure that ensures agents and analytical

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