Process Engineer: AI-Driven Operational Excellence

Amazon Web Services (AWS); Seattle (WA); On-site; USD 116,000 - 160,000; Full time

Job summary

Amazon Web Services, Inc. seeks a Process Engineer to lead cross‑functional process improvements, applying Lean Six Sigma to transform broken or invisible processes into scalable, measurable systems. You will define operationalized processes for AI agents and collaborate with product, engineering, and business teams to drive measurable impact.

The role emphasizes data-driven diagnosis, rapid or long‑term diagnostics, and executive communication to stakeholders across the organization.

Qualifications

• 5+ years of program or project management experience.
• Experience using data and metrics to determine and drive improvements.
• Experience owning program strategy, end to end delivery, and communicating results to senior leadership.

Responsibilities

• Lead the full lifecycle of cross-functional process improvement initiatives using Lean Six Sigma to deliver measurable impact.
• Conduct direct observation of processes, identify bottlenecks, and translate findings into structured process designs.
• Define and standardize processes for AI agent operability with detailed decision logic and handoffs.
• Partner with business, product, and engineering teams to translate requirements into scalable solutions.
• Drive adoption of standardized methodologies and build repeatable frameworks.

Skills

Program management

Data analysis

Leadership

Communication

Stakeholder management

Education

Master's degree in Engineering / Operations Research

Tools

Process mining

Automation frameworks

AI-assisted tooling

Job description

Amazon Web Services, Inc. seeks a Process Engineer to lead cross‑functional process improvements, applying Lean Six Sigma to transform broken or invisible processes into scalable, measurable systems. You will define operationalized processes for AI agents and collaborate with product, engineering, and business teams to drive measurable impact.

The role emphasizes data-driven diagnosis, rapid or long‑term diagnostics, and executive communication to stakeholders across the organization.