Global AI Automation & Systems Delivery Lead

Amazon

Bethesda (MD)

On-site

USD 198,000 - 268,000

Full time

14 days+

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Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon in Bethesda, MD seeks a Senior Systems Development Manager to lead a global team building AI-powered automation tooling and managing 24/7 technical support operations. You will own the strategy, execution, and delivery of automation platforms, AI/ML-driven solutions, and self-service workflows while guiding a growing team toward scalable, reliable systems and operations excellence across regions.

This hands-on leadership role requires collaboration with product, engineering, and program

Qualifications

Knowledge of infrastructure automation delivered through the software development lifecycle in an API-enabled environment, including agile development, software architecture/patterns, and modern cloud services
5+ years of managing system or software development teams experience
Bachelor's degree in Computer Science or Engineering
10+ years of experience in systems development, software engineering and technical support/services operations
3+ years of experience leading AI/ML or automation tooling development initiatives (e.g., intelligent workflows, chatbots, predictive systems, generative AI applications)
3+ years of experience managing global technical support or operations teams of 30+, including managing managers
Strong understanding of distributed systems, cloud infrastructure (AWS preferred), and modern DevOps practices
Demonstrated ability to scale teams from early-stage to mature, high-performing organizations

Responsibilities

Lead and grow a global team of Systems Development Engineers across geographies to deliver automation platforms and AI-powered tooling.
Define and execute the technical vision for automation platforms, AI/ML-driven solutions, and self-service workflows.
own and manage 24/7 global technical support operations and ensure SLA adherence.
Develop multi-year roadmaps aligning automation investments with business priorities.
Establish and track KPIs such as ticket reductions, time-to-resolve, and automation coverage.
Collaborate with product, engineering, and program management to ensure supportability of NPIs.
Set engineering standards, conduct design reviews, and ensure scalable, reliable solutions.
Communicate performance and investment needs to senior leadership.