Retail · Retail
Currently tracking 207 active AI roles, up 544% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $90k–$481k (avg $186k).
| Title | Stage | AI score |
|---|---|---|
| (USA) Senior, Software Engineer Senior Software Engineer role focused on financial data for retail problems, utilizing Genai/LLM methods to build and deploy forecasting systems and agentic AI systems. The role involves collaborating with Finance teams, enhancing financial planning, and producing summaries. Requires experience in productionizing ML/Genai models, designing scalable applications, cloud platforms, CI/CD, testing frameworks, backend development, containerization, and monitoring. | AgentServe | 7 |
| (USA) Group Director, Data Science Group Director of Data Science leading centralized eCommerce Decision Science/AI, Data Engineering, and Business Intelligence functions. The role involves scaling the eCommerce business through modeling and generative AI insights, leading data engineering and BI capabilities, shaping the analytical roadmap, and implementing new machine learning models. Requires a blend of visionary leadership and hands-on involvement, with a focus on delivering data-driven solutions for customer-facing problems at scale. | Ship | 7 |
| Senior, Software Engineer – Python, Gen AI Developer Senior Software Engineer role focused on building scalable APIs and services for Walmart's Global Sourcing Backend team, specifically integrating and deploying Generative AI models (like GPT or Gemini) into applications. The role involves developing Python services, pre-processing text, implementing API endpoints, integrating safety modules, and potentially building user interfaces with React. Experience with cloud technologies (Azure, GCP), microservices, and API design is required. | Agent | 7 |
| Staff, Data Scientist Staff Data Scientist for Walmart's Personalization team, focusing on developing and implementing AI/ML algorithms for personalized recommendations and content generation (visual and textual) for their retail platform. The role involves designing, developing, and deploying scalable ML models using structured and unstructured data, collaborating with cross-functional teams, and staying updated on ML advancements. | Agent | 7 |