Tapestry Manager, AI Engineering

Explore the possibilities across our global house of brands.

Defined by inclusivity rather than exclusivity, Tapestry embraces the exploration of individuality and invests in helping you grow personally and professionally. Every individual in our global house has the opportunity to make an impact, learn and be part of our growing and unique story.

At Tapestry, we have the freedom to express ourselves and run with our best ideas across Coach and Kate Spade New York. We share a profound belief in both our individual and collective potential, and know that with hard work and dedication, anything is possible.

AI Project Delivery & Execution

• Lead end-to-end delivery of AI-centric projects, with a primary focus onAI agents, Retrieval-Augmented Generation (RAG) systems, and automated decision workflows.
• Translate business use cases into scalable technical architectures, ensuring alignment with data, infrastructure, and product roadmaps.
• Manage full project lifecycle-from scoping and resource planning to execution, testing, deployment, and post-launch optimization.
• Define and track KPIs for AI system performance, accuracy, latency, and user adoption; ensure measurable impact.

Technical Leadership in AI Systems

• Architect and oversee implementation of RAG pipelines, including document ingestion, embedding models, vector databases (e.g., Pinecone, Milvus), retrieval logic, and LLM integration.
• Guide development of autonomous AI agents using frameworks like LangChain, LangGraph, Dify, or custom-built orchestration layers.
• Collaborate with data scientists and AI engineers to evaluate prompts, and implement guardrails for safety, fairness, and compliance.
• Ensure robust observability, logging, and monitoring of AI workflows to support debugging, auditing, and continuous improvement.

Engineering Excellence & Automation

• Champion MLOps practices: version control for datasets/models, reproducible pipelines, CI/CD for AI, and A/B testing of model outputs.
• Implement scalable backend services (APIs, event-driven microservices, MCP) to serve AI capabilities across enterprise applications.
• Leverage cloud-native technologies (AliCloud/AWS), containerization (Docker/Kubernetes), and Infrastructure-as-Code (Terraform) for reliable deployments

Cross-Functional Collaboration

• Serve as the primary liaison between AI engineering, product management, security, compliance, and business stakeholders.
• Present technical designs, risks, and progress updates clearly to both technical and non-technical audiences.
• Advocate for ethical AI principles, data privacy, and regulatory alignment throughout the development lifecycle.

Team Coordination & Mentorship

• Coordinate a hybrid team of internal engineers and vendor partners; assign tasks, monitor progress, and maintain accountability.
• Foster a culture of innovation, knowledge sharing, and agile delivery within the AI delivery pod.
• Mentor junior engineers in AI/ML best practices, prompt engineering, and responsible AI deployment.

Qualifications

Bachelor's or master's degree in computer science, Artificial Intelligence, Software Engineering, or a related technical field.

• Minimum of 2+ years of hands-on experience delivering production-grade AI/ML projects, specifically involving AI agents, RAG systems, or intelligent workflow automation.
• Strong software engineering background with proven ability to lead technical teams and manage complex delivery timelines.
• Demonstrated experience with:

• Generative AI frameworks: LangChain, Dify, N8N, LangGraph, etc.
• Vector databases: Pinecone, Chroma, FAISS, Weaviate, or Milvus
• LLM APIs and platforms: OpenAI, Anthropic, Alibaba Qwen
• Prompt engineering, retrieval optimization, and evaluation metrics (e.g., BLEU, ROUGE, faithfulness, context relevance)
• Cloud platforms (AliCloud preferred, or AWS)
• Containerization and orchestration (Docker, Kubernetes)
• CI/CD tools (GitLab CI, GitHub Actions, Jenkins)
• Scripting languages: Python (required), JavaScript/TypeScript (preferred)

• Solid understanding of machine learning fundamentals, NLP, and transformer-based models.
• Familiarity with MLOps tools (MLflow, Kubeflow, Vertex AI) and observability stacks (Prometheus, Grafana, LangSmith).
• Excellent organizational, communication, and stakeholder management skills.
• Fluent in spoken and written English and Mandarin - essential for global collaboration.

Our Competencies for All Employees
Courage: Doesn't hold back anything that needs to be said; provides current, direct, complete, and "actionable" positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary.
Creativity: Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.
Customer Focus: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect.
Dealing with Ambiguity: Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn't upset when things are up in the air; doesn't have to finish things before moving on; can comfortably handle risk and uncertainty.
Drive for Results: Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results.
Interpersonal Savvy: Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably.
Learning on the Fly: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything.

Our Competencies for All People Managers
Strategic Agility: Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans.
Developing Direct Reports and Others: Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder.
Building Effective Teams: Blends people into teams when needed; creates strong morale and spirit in their team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team.

Tapestry is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant's or employee's qualifications as they relate to the requirements of the position under the consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law.

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