Senior Software Development Engineer, Leo AI Foundations

Amazon Inc

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$168,100–$227,400 / yr
Posted
2 days ago

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Competitive pay

How this pay compares to similar roles

Similar $197k
This role $198k
$142k most similar roles pay here $241k

This role pays more than 53% of similar roles. Most pay $163,500–$231,043 — the shaded band above. At the midpoint, this role pays about $198k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About Amazon Inc

Amazon Inc. is the world''s largest e-commerce and cloud computing company, operating the Amazon marketplace, AWS cloud platform, Prime subscription services, Alexa voice AI, and logistics infrastructure. Industry: E-Commerce & Cloud Computing

Amazon Inc currently has 335 open roles on FindRole.

Listed pay typically runs $143,700–$194,400 across 317 roles with salary data.

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At a glance

TL;DR · Senior Software Development Engineer, Leo AI Foundations

As a Senior Software Development Engineer on the Amazon Leo team, you will design and implement globally distributed systems to enable near real-time analytics and support agentic AI capabilities. Your daily tasks include architecting scalable S3-based Data Lakehouses, OLAP-based analytics layers, and vector databases that manage billions of embeddings with sub-100ms retrieval times. You’ll use AWS technologies and best practices to establish metadata management, data ingestion patterns, and robust quality frameworks while ensuring compliance with Amazon’s security standards. This role requires expertise in cloud services, APIs, low-latency architecture, and experience with tools like S3, OLAP databases, and vector storage solutions. The position demands a deep understanding of distributed systems, AI retrieval patterns, and complex analytical queries to optimize performance for both analytics and AI applications.

What you'll do

  • Architect and implement a scalable, cost-optimized S3-based Data Lakehouse.
  • Design an OLAP-based analytics layer for near real-time query responses.
  • Establish metadata management with automated data classification and lineage tracking.
  • Lead the design of semantic data models balancing analytical performance and AI retrieval.
  • Implement cross-domain federated query capabilities with advanced optimization techniques.
  • Architect a globally distributed vector database for consistent sub-100ms embedding retrieval.
  • Design hybrid search strategies combining dense vectors with sparse representations.

What we're looking for

  • Extensive experience in designing and implementing scalable S3-based Data Lakehouses.
  • Proficient in architecting cost-effective OLAP analytics layers for real-time data processing.
  • Expertise in metadata management with automated classification and lineage tracking systems.
  • Strong background in developing robust data quality frameworks with validation pipelines.
  • Experience in creating globally distributed vector database infrastructure for fast retrieval.
  • Skilled in designing hybrid search strategies combining dense vectors and sparse representations.
  • Knowledge of establishing automated compliance validation to ensure security standards.

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