Senior Director, Data Science – AI Agent Development
Gap Inc.
full-time
Posted on:
Location Type: Office
Location: San Francisco • California • United States
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Job Level
Tech Stack
About the role
- Define and execute the AI Agent strategy across Gap Inc.’s brands
- Build and scale an AI Agent platform that supports customer service, digital styling, inventory intelligence, and creative design automation
- Lead a multidisciplinary team of data scientists, research engineers, and applied ML experts
- Architect systems that combine retrieval-augmented generation (RAG), autonomous planning, tool use, and memory for scalable AI Agents across retail functions
- Drive innovation and research partnerships with office of AI to stay at the frontier of agentic AI and generative reasoning
- Champion data-driven experimentation and A/B testing methodologies for AI-driven workflows
Requirements
- 10+ years of experience in applied data science, AI research, or machine learning engineering
- Proven experience in LLM development, multi-agent systems, or intelligent automation (e.g., LangChain, OpenAI API, Anthropic, or custom orchestration frameworks)
- Experience defining and executing AI strategy within a global consumer brand
- Strong understanding of deep learning, reinforcement learning, retrieval systems, and natural language processing
- Hands-on knowledge of modern ML infrastructure (e.g., Databricks, AWS/GCP, Vertex AI, MLflow, Ray, Hugging Face)
- Expertise in data architecture, feature engineering, and experimentation pipelines at enterprise scale
Benefits
- Health insurance
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
applied data scienceAI researchmachine learning engineeringLLM developmentmulti-agent systemsintelligent automationdeep learningreinforcement learningnatural language processingdata architecture
Soft Skills
leadershipinnovationdata-driven experimentationA/B testingteam collaboration