Lead AI Platform Architect for Education Tech

Cengage Group

Providence (RI)

On-site

USD 117,000 - 187,000

Full time

14 days+
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Job summary

Cengage Group is seeking an accomplished technology leader to drive delivery of our education technology platforms. You will lead remote software engineering teams using agile practices, partnering with product and design to ship high-availability enterprise software that scales for millions of learners.

The role emphasizes building teams across time zones, advancing GenAI initiatives, and driving customer-centric outcomes with data-driven decisions and measurable improvements in engagement.

Qualifications

  • Bachelor's degree in computer science or related field.
  • 5+ years technology leadership experience across multiple time zones.
  • Experience with generative AI concepts and GenAI toolkits.

Responsibilities

  • Design, architect, and implement new features to scale platforms.
  • Collaborate with product partners and customers to define tech solutions.
  • Communicate complex technical concepts across teams and stakeholders.
  • Monitor performance, analyze data, and iterate for reliability 24/7.
  • Adopt agile practices to deliver high-quality releases on schedule.
  • Stay current with GenAI, MLOps, and digital transformation trends.
  • Foster a high-performance, accountable engineering culture.

Skills

Technology leadership
Agile methodologies
Cross-functional leadership
Data-driven decision making
Communication

Education

Bachelor's degree in computer science or related field

Tools

AWS
Kubernetes
Docker
Terraform
Azure DevOps

Job description

Cengage Group is seeking an accomplished technology leader to drive delivery of our education technology platforms. You will lead remote software engineering teams using agile practices, partnering with product and design to ship high-availability enterprise software that scales for millions of learners.

The role emphasizes building teams across time zones, advancing GenAI initiatives, and driving customer-centric outcomes with data-driven decisions and measurable improvements in engagement.

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