Senior AI Analytics Engineering Leader

Amazon Web Services (AWS); Seattle (WA); On-site; USD 218,800 - 295,900; Full time

Job summary

Amazon Development Center U.S., Inc. in Seattle is seeking a Senior Applied Science Manager to define the science and engineering strategy across AWS product teams.

You will lead cross‑functional leaders, architect enterprise‑scale ML platforms, and translate complex business challenges into scalable AI solutions across product, sales, and go‑to‑market functions. The role requires 10+ years building ML at internet scale, a Masters in CS, and a track record of mentoring scientists.

Qualifications

• 10+ years building large-scale ML/AI solutions at internet scale.
• Master's degree in Computer Science (ML, AI, Statistics, or equivalent).
• Experience leading scientists and mentoring junior members.

Responsibilities

• Build and lead a high-performing team of managers, scientists, and engineers.
• Partner with AWS leaders to translate business objectives into scientific initiatives.
• Architect enterprise-scale ML platforms and models.
• Drive cross-functional alignment and publish the science roadmap.
• Mentor team and ensure quality of experiments and artifacts.

Skills

ML at scale

Leadership & mentoring

Cross-functional collaboration

Education

Master's in Computer Science

PhD in Computer Science (Preferred)

Job description

Amazon Development Center U.S., Inc. in Seattle is seeking a Senior Applied Science Manager to define the science and engineering strategy across AWS product teams.

You will lead cross‑functional leaders, architect enterprise‑scale ML platforms, and translate complex business challenges into scalable AI solutions across product, sales, and go‑to‑market functions. The role requires 10+ years building ML at internet scale, a Masters in CS, and a track record of mentoring scientists.