Senior BI Engineer — AI-Driven Analytics Architect

Amazon; Austin (TX); On-site; USD 130,000 - 176,000; Full time

Job summary

Amazon Web Services, Inc. in the United States (Texas, Austin) is seeking a Senior Business Intelligence Engineer III to lead analytics strategy for the Specialist Insights team at the intersection of data engineering and AI.

The Senior BIE will own end-to-end analytics architecture, data platforms, governance, self-service products, and AI integration. Deep data engineering and production AI/ML experience are expected to drive systems that learn and scale.

Qualifications

• 7+ years of experience as a Data Analyst, Data Engineer, or BI Analyst.
• Experience scripting for automation (Python) and advanced SQL.
• Experience architecting end-to-end data platforms serving multiple downstream consumers.
• Track record of driving technical decisions with cross-team impact.
• Experience building or integrating AI/ML capabilities into data platforms or analytics products (LLMs, RAG, agent frameworks, knowledge graphs).

Responsibilities

• Owns the architecture and technical roadmap for the team's analytics systems — data platforms, governance layers, self-service products, and the integration patterns that connect them to AI-powered downstream applications.
• Designs and drives implementation of scalable data platforms: pipeline orchestration, automated quality monitoring, schema management, and infrastructure that supports both traditional BI and AI-native consumption patterns.
• Architects governance frameworks that maintain data trust at scale: lineage, freshness enforcement, validation pipelines, ownership models, and content lifecycle practices.
• Builds and owns automated analytics systems — report generation, KPI monitoring, anomaly detection, insight delivery.
• Defines the team's AI tooling strategy: evaluates frameworks, builds shared infrastructure, and establishes practices for AI collaboration.
• Drives cross-functional alignment on data product architecture; influences partner teams on integration patterns, API contracts, and standards for data interoperability.
• Makes technical decisions with broad impact: data modeling trade-offs, build-vs-buy on capabilities, migration strategies, and cost/performance optimization.
• Applies advanced statistical and ML methods within production systems; designs experimentation frameworks that quantify business impact.
• Mentors and levels up the team on data engineering craft, system design, governance thinking, and practical AI/ML application.
• Communicates complex technical architecture and strategy to senior leadership; writes design documents and presents trade-offs.

Skills

SQL

Python

Data modeling

Data architecture

Cross-team collaboration

AI/ML production

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field

Job description

Amazon Web Services, Inc. in the United States (Texas, Austin) is seeking a Senior Business Intelligence Engineer III to lead analytics strategy for the Specialist Insights team at the intersection of data engineering and AI.

The Senior BIE will own end-to-end analytics architecture, data platforms, governance, self-service products, and AI integration. Deep data engineering and production AI/ML experience are expected to drive systems that learn and scale.