Senior Ads AI Data Services Engineer - Real-Time Infra

Amazon

New York (NY)

On-site

USD 185,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off and parental leave

Job summary

Amazon Advertising in New York, NY is seeking exceptional software engineers to build real-time data services powering AI-driven advertising experiences across Sponsored Ads and DSP. As part of the ARDS & Profiles team, you will deliver near-realtime data intelligence and advertiser context enabling AI agents and tools to make informed decisions for advertisers.

This role focuses on building redundant, highly available systems that scale to serve millions of advertisers across 20+ countries,

Qualifications

5+ years of non-internship professional software development.
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team

Responsibilities

Design, build, and operate real-time data retrieval services that power AI agent decision-making across Amazon Advertising, handling 100M+ API requests per day at sub-5-second latency
Build and maintain streaming data pipelines that ingest petabyte-scale advertising and retail datasets, transforming raw signals into queryable intelligence functions with sub-10-minute data freshness
Own the full lifecycle of advertiser profile generation, including LLM-powered entity resolution, knowledge graph construction, and real-time profile serving across 4+ entity types (advertisers, brands, ASINs, categories)
Design and implement authorization and access control layers that enforce dataset-level permission granularity across multiple account types (Sponsored Ads, DSP, parent accounts) and advertising programs
Develop evaluation frameworks that measure data quality, query accuracy, and agent decision effectiveness, using automated regression testing to maintain correctness as datasets and functions scale
Build self-service onboarding infrastructure that allows partner teams to integrate new datasets and query functions without requiring core team engineering effort
Operate production services at 99.99%+ availability across 20+ global marketplaces, owning on-call rotations, alarm tuning, runbooks, and incident response for tier-1 advertising infrastructure
Drive technical design through written documents, collaborating with science teams on LLM integration and with data engineering teams on pipeline architecture
Identify and eliminate scaling bottlenecks through load testing, profiling, and architectural optimization, targeting cost-efficiency improvements in compute, storage, and LLM inference spend
Mentor engineers on the team through code reviews, design feedback, and architecture discussions, raising the technical bar across the organization.