Tapestry Director, Digital Engineering - AI & Commerce Platforms

Tapestry

New York (NY)

On-site

USD 180,000 - 280,000

Full time

14 days+

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Job summary

Tapestry in New York, NY, seeks a Director of Digital Engineering - AI & Commerce Platforms to lead the design, delivery, and evolution of AI-enabled, cloud-native platforms on AWS, with ownership of DevOps and modern engineering practices.

You will partner with Brand, Digital, Product, and IT to define technology strategies leveraging AI, cloud, and automation to improve customer experience and speed to market.

Qualifications

  • 10+ years in software/platform engineering with 3+ in leadership.
  • Experience leading cross-functional teams and stakeholders.
  • Proficiency in AWS and cloud-native architectures.
  • Experience deploying AI/ML in production environments.
  • Strong API-first, microservices, and CI/CD practices.
  • Retail/eCommerce domain experience a plus.

Responsibilities

  • Lead design and delivery of scalable AI-enabled platforms on AWS.
  • Drive modernization of eCommerce platforms for omnichannel experiences.
  • Promote best practices in architecture, coding, CI/CD and security.
  • Lead and mentor engineering teams and align tech with business goals.

Skills

Leadership
Cloud & AWS expertise
DevOps
AI/ML in production
API & microservices
CI/CD
Architecture
Ecommerce/retail domain

Education

Bachelor's degree in Computer Science or related field

Tools

AWS
Terraform
Kubernetes
CI/CD pipelines

Job description

We believe that difference sparks brilliance, so we welcome people and ideas from everywhere to join us in stretching what's possible.

At Tapestry, being true to yourself is core to who we are. When each of us brings our individuality to our collective ambition, our creativity is unleashed. This global house of brands - Coach and Kate Spade New York - was built by unconventional entrepreneurs and unexpected solutions, so when we say we believe in dreams, we mean we believe in making them happen. We're always on a journey to becoming our best, but you can count on this: Here, your voice is valued, your ambitions are supported, and your work is recognized.

A member of the Tapestry family, we are part of a global house of brands that has unwavering optimism and is committed to being innovative and wholly inclusive. Visit Our People page to learn more about Tapestry's commitment to equity, inclusion, and diversity.

The Director, Digital Engineering - AI & Commerce Platforms leads the design, delivery, and evolution of AI-enabled, cloud-native platforms on AWS, with ownership of DevOps and modern engineering practices and strong expertise in eCommerce and retail. This role partners with Brand, Digital, Product, and IT stakeholders to define and execute technology strategies that leverage AI, cloud, and automation to improve customer experience, operational efficiency, and speed to market. Responsibilities include AWS platform engineering, AI-enabled capabilities (e.g., personalization, search, chat agents, automation), CI/CD and DevOps practices, cloud security and governance, and performance optimization. The role also includes vendor management, SDLC governance, and ensuring delivery alignment across teams, along with leading regular operational and strategic reviews with engineering and business stakeholders.

Software Engineering & Platform Delivery

  • Lead the design and delivery of scalable systems, APIs, and microservices for customer-facing and enterprise platforms
  • Drive the development of next-generation, scalable, composable eCommerce platforms supporting omnichannel experiences
  • Build reusable platforms and services that accelerate product development
  • Promote best practices across architecture, coding standards, and CI/CD

AI & Intelligent Systems

  • Drive adoption of AI-powered capabilities, including Generative AI use cases such as personalization, search, and conversational experiences
  • Partner with data and analytics teams to integrate AI into products and workflows
  • Support deployment and continuous improvement of AI solutions in production

Architecture & Modernization

  • Guide modernization using cloud-native architectures, microservices, and event driven patterns
  • Define API-first integration patterns that enable scalable, flexible, and composable systems
  • Ensure platforms are modular and aligned with evolving business needs

Engineering Excellence & Operations

  • Introduce tools and practices to improve engineering productivity, quality, and reliability
  • Promote DevOps best practices and continuous improvement across development and operations

Technology Strategy & Leadership

  • Contribute to platform, AI, and composable commerce technology roadmap and innovation initiatives
  • Evaluate emerging technologies and support practical adoption
  • Lead and develop engineering teams, supporting hiring, growth, and a culture of accountability and learning

The accomplished individual will possess

  • 10+ years of experience in software or platform engineering, with 3+ years in leadership roles
  • Experience leading teams and working with cross-functional stakeholders and partners
  • Familiarity with DevOps and modern software delivery practices
  • Experience building and operating applications on AWS or similar cloud platforms
  • Solid understanding of backend systems, APIs, and distributed architectures
  • Exposure to microservices and cloud-native development
  • Experience supporting or integrating AI/ML capabilities in production environments
  • Familiarity with applying AI to customer experience or engineering productivity
  • Ability to align technology solutions with business goals
  • Experience supporting modernization or platform transformation initiatives
  • Understanding of eCommerce or retail environments, including digital customer experiences
  • Experience with AWS services (compute, storage, databases, APIs) and scalable system design
  • Familiarity with API-driven and modular architectures
  • Experience with CI/CD pipelines and infrastructure as code (e.g., Terraform,
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