We are looking for a seasoned and energetic Staff software engineer who can drive the development of the platform working with a group of high energy engineers, architects, product managers and report to leadership team. This role requires to be technically strong and be able to drive the development in a fast-paced environment. The candidate is expected to work with global teams, provide thought leadership, understand the business context and help provide right solutions, work with product and program managers to plan the releases, participate in sprint planning and handle deployments to production. If you are inspired by the opportunity to solve complex problems and make a difference for our customers, please join us. About Team: The Enterprise People Technology team supports the successful deployment and adoption of new People technology across the enterprise. As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve people technology and products to helpmanagers and associates so they can focus on what matters most - supporting our customers and members. People Technology is one of the major segments of Walmart Global Techs Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience. What You’ll Do: Lead the design and evolution of large scale machine learning and generative AI systems, setting technical direction across multiple teams and initiatives. Architect and productionize LLM driven platforms and services, ensuring scalability, reliability, and maintainability in high impact environments. Define and implement advanced NLP and generative AI solutions, including RAG systems, agent based architectures, and multimodal models. Drive the development of multi agent systems capable of orchestrating complex, goal directed workflows from natural language inputs. Establish best practices for model development and deployment, including evaluation frameworks, experimentation standards, and performance optimization techniques (e.g., fine tuning, LoRA, quantization). Partner with engineering, product, and business leaders to translate ambiguous, high level problems into scalable AI solutions with measurable impact. Champion responsible AI practices, ensuring systems meet standards for safety, fairness, privacy, and regulatory compliance.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
1-10 employees