Amazon. com Services LLC

Manufacturing

Sr.Manager,SystemDevelopment

$197–268k Bellevue, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Sr. Manager, System Development at Amazon. com Services LLC. Skills: System Development, Manufacturing Systems, AI Automation, Factory Automation. Lead AI-enhanced manufacturing systems design. Lead AI-enhanced manufacturing systems implementation”

Industry & Context.

Manufacturing
Problems you'll solve

Root cause analysis; Troubleshooting; Data-driven decision making

What They're Looking For.

Must Have

Bachelor's degree, 8+ years manufacturing systems engineering, Hands-on medium machining experience, Automated production systems experience, Architecting OT systems experience, Deploying OT systems experience, Integrating AI/ML into manufacturing, Leading cross-functional engineering teams

Nice to Have

5+ years managing engineering team, MBA or Master's degree, Digital twin modeling experience, Factory simulation tools experience, AI orchestration frameworks familiarity, Edge AI deployment familiarity, High-mix robotic assembly experience, Automated material handling experience, Systems engineering methodologies background, Integration architecture documentation background

What You'll Do.

Lead AI-enhanced manufacturing systems design

Lead AI-enhanced manufacturing systems implementation

Define factory automation architecture

Own factory automation architecture

Establish integration standards

Deploy AI/ML models at edge

Develop factory simulation models

Validate factory simulation models

Optimize production flow

Optimize production capacity

Optimize system interactions

Apply machining process knowledge

Drive process optimization

Lead make-vs-buy decisions

Evaluate supplier manufacturing capabilities

Drive smart factory layout planning

Drive production line balancing

Lead systems development engineers

Develop systems development engineers

Mentor engineers in AI/ML

Mentor engineers in OT systems

Mentor engineers in Industry 4.0

Establish technical standards

Establish best practices

Develop smart manufacturing strategies

Align strategies with business objectives

Interface with executive leadership

Define manufacturing vision

Define resource requirements

Define investment priorities

Drive data-backed decision-making

How You'll Work.

Team & Collaboration

Cross-functional engineering teams; Executive leadership interface

Communication Scope

Executive presentations

Full Job Description

We're a fast-growing organization seeking an experienced Sr. Manager, System Development who specializes in advanced manufacturing systems, medium machining operations, and AI-driven automation to lead the design and optimization of high-volume manufacturing facilities for industrial equipment. This senior technical leader will own our smart manufacturing strategy end-to-end — from factory automation architecture and OT systems integration to AI/ML deployment at the edge. You are a systems thinker who understands how machines, software, data, and people interact across the full manufacturing stack. You bring hands-on experience with medium machining environments (roll forming, laser cutting, robotic assembly, powder coating) and know how to translate that domain knowledge into scalable, intelligent production systems. You are a data-driven decision-maker who leverages digital twin modeling, simulation, and AI-powered analytics to rapidly evaluate options and drive decisive action. You bridge the gap between operational technology (OT) and information technology (IT), and you know how to architect systems — not just manage them. Key job responsibilities Systems Architecture & AI Integration - Lead the design and implementation of AI-enhanced manufacturing systems, including SCADA, MES, PLC integration, edge computing, and IT/OT convergence layers - Define and own the factory automation architecture, establishing integration standards across industrial protocols, data exchange formats, and AI inference pipelines - Deploy AI/ML models at the edge to enable real-time process control, predictive maintenance, and automated quality inspection - Develop and validate advanced factory simulation and digital twin models to optimize production flow, capacity, and system interactions - Medium Machining & Process Engineering - Apply deep knowledge of medium machining processes — including automated roll forming, laser cutting, powder coating, and robotic assembly cells — to drive

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