Business Intelligence Engineer, Rapid & Rural Logistics (R2L)

The Rapid & Rural Logistics (R2L) team is hiring a Sr. Business Intelligence Engineer to own our Conversational and Agentic AI roadmap. In this role, you will design and deploy LLM-powered agents and natural language interfaces that enable operators and business stakeholders to interact with data and trigger automated workflows in real time. You will be the technical expert building intelligent systems that don't just surface smart insights, but take action across R2L's fast-moving logistics ecosystem.

Key job responsibilities
- Own the end-to-end design, development, and deployment of conversational AI interfaces and agentic AI systems that serve R2L's operational and analytical needs
- Build and maintain LLM-powered agents capable of reasoning over structured and unstructured data, executing multi-step tasks, and integrating with internal tools and APIs
- Develop natural language querying capabilities that democratize data access across all levels of the organization — from frontline ops to senior leadership
- Architect agentic workflows for operational use cases such as automated XBR commentary generation, anomaly detection and escalation, route optimization insights, and delivery performance monitoring
- Partner with data engineers and scientists to ensure agents are grounded in reliable, high-quality data pipelines
- Define evaluation frameworks and guardrails to ensure AI agent outputs are accurate, safe, and trustworthy
- Collaborate with cross-functional stakeholders to identify automation opportunities and translate ambiguous business problems into scalable AI solutions
- Stay current on advancements in LLMs, agent frameworks (e.g., ReAct, tool-use, multi-agent orchestration), and retrieval-augmented generation (RAG) to continuously improve our AI capabilities

About the team
R2L covers a portfolio of high-growth businesses with unique fulfillment and operational capabilities — including Sub Same Day (SSD), Rural Super Rural+ (RSR+), Amazon Now, and SSD Direct. Our mission is simple: fast, accurate delivery. To meet that mission at scale, we are investing heavily in intelligent automation and AI-driven decision-making that can adapt as quickly as our business does.

R2L is one of Amazon's fastest-growing logistics organizations, and this role sits at the frontier of how we use AI to run our business. You won't just be building dashboards — you'll be building the intelligent systems that power how our teams make decisions and take action every day.

Basic Qualifications

- 10+ years of professional or military experience
- 5+ years of SQL experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred Qualifications

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our