Position Summary...What you&aposll do...
About the 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 help managers and associates focus on what matters most -supporting our customers and members.People Technology is a significant segment of Walmart Global Techs Enterprise Business Services, invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience.About People.AI Team: The People.AI team is responsible for developing and deploying AI/ML solutions supporting the Walmart associates globally.In this role, you will build an LLM-powered intelligent voice-based experience to integrate with associate facing contact centers to enhance associate experience, increase first call resolution and drive productivity by implementing self-service Q&A and action agents. You will design and build an intelligent conversational architecture that improves communication, automates tasks, accesses data and insights, and provides personalized Q&A support to associates in a multi-modal setup and ultimately creating a more efficient and engaging work environment.
What you&aposll do:
This is a vital role with significant growth prospects. You will have work to do from day one and you will be counted on to create opportunities that align with the overall organization&aposs goals. Some of this roles key responsibilities include, but not limited to:
- Design, develop, and deploy LLM-powered intelligent applications that enhance productivity and engagement for Walmart associates across the globe.
- Build and integrate enterprise-grade conversational agents and AI copilots into contact centers, chatbots, internal portals, and business applications to automate tasks, improve communication, and provide real-time, contextualized support.
- Leverage state-of-the-art LLMs and frameworks like LangChain, LangGraph to create dynamic, natural language interfaces over enterprise data.
- Implement retrieval-augmented generation (RAG) pipelines using vector databases such as Milvus or FAISS to enable deep integration with Walmarts knowledge ecosystem.
- Enhance the clarity, conciseness, and readability of generated knowledge Q&A to ensure it is wellsuited for voice-based service agents.
- Build developer-friendly tools and reusable frameworks that abstract key aspects of ML and LLM system complexityenabling developers without prior ML experience to quickly build highquality, scalable AI solutions with minimal friction, while maintaining reliability, governance, and performance standards.
- Act as a platform enabler and technical collaborator, working closely with Data Scientists, Software Engineers, Product Managers, and MLOps/DevOps teams to streamline model deployment, monitoring, and lifecycle management.
- Design end-to-end system architecture for GenAI applications and its integration with contact centers, chatbots and other business applications
What youll bring:
- You have 15+ years' experience in design, development and maintenance of highly scalable, secure and user-centric products and platforms
- Expert-level proficiency in programming languages such as Python or Java, with a strong track record of delivering high-performance, production-grade code for machine learning applications.
- Proven experience designing, developing, and operationalizing end-to-end ML systems, including data ingestion, feature engineering, model training, deployment, and monitoring.
- A solid understanding of core machine learning principles, including various model families (e.g., tree-based models, deep neural networks), feature selection techniques, and practical challenges such as data quality, bias, and concept/data drift.
- Deep experience in Linux-based development environments, along with containerization using Docker and orchestration with Kubernetes for scalable ML service deployment.
- Hands-on experience working with cloud platforms like Google Cloud Platform (GCP) or Microsoft Azure, with familiarity in their AI/ML tools, infrastructure components, and DevOps ecosystems.
- Proficiency in building and scaling API-based services and distributed systems, and in managing workflows using tools such as Apache Airflow or similar orchestration frameworks.
- Strong working knowledge of SQL and modern data engineering practices, enabling seamless integration of ML pipelines with batch and streaming data sources.
- Proficient in version control with Git, and experienced in collaborating within agile, crossfunctional software teams.
- A deep grasp of software engineering best practices, including API design, automated testing, CI/CD pipelines, and observability for ML-driven systems.
- Clear and confident communication skills, with the ability to understand cross-functional requirements and translate them into scalable technical solutions.
- A mindset grounded in intellectual curiosity, with a passion for MLOps, cloud-native technologies, and driving innovation in scalable AI infrastructure.
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity expert&aposs and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Flexible, hybrid work
We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
Belonging
We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone isand feelsincluded, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, were able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
Equal Opportunity Employer
Walmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being inclusive of all people.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Minimum Qualifications:Option 1: Bachelor&aposs degree in computer science, computer engineering, computer information systems, software engineering, or related area and6 years experience in software engineering or related area.Option 2: 8 years experience in software engineering or related area.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Masters degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area
Primary Location...
Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2218294
