About Team
The Corporate Technology Services data science team at Walmart Global Tech leverages advanced machine learning, agentic AI, and optimization methodologies to address complex business challenges. The team conducts comprehensive data analyses, develops predictive models, and implements machine learning algorithms, while also creating intelligent AI agents that support autonomous, data-driven decision-making. Collaborating closely with engineering teams, we design and execute scalable machine learning pipelines, agentic workflows, and resilient reference architectures on large-scale data platforms to deliver production-grade solutions.
Walmart’s The Corporate Technology Services (CTS) is a powerhouse of several exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart.
As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Each time an associate turns on their laptop, a customer makes a purchase, a new supplier is onboarded, the company closes the books, physical and legal risk is avoided, and when we pay our associates consistently and accurately, that is CTS. Joining CTS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart.
What you will do
- Design , develop and deploy AI-enabled products to build solutions in Fintech domain
- Collaborate with cross-functional partners ( Finance, Tech, Product) to align on priorities and execute initiatives
- Play a key role to solve complex problems, pivotal to Walmart's business and drive actionable insights
- Closely collaborate with team to drive data science adoption in the domain
- Drive efficiency across the domain in terms of AI and ML best practices, ML Ops practices, resource utilization, reusability and multi-tenancy
- Articulate and present recommendations to business partners and influence plans based on insights
- Work with the customer-centric mindset to deliver high-quality business driven AI solutions
- Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving
- Proactively engages in the external community to build Walmart's brand and learn more about industry practices
- Promote and support company policies, procedures, mission, values, and standards of ethics and integrity
What you will bring
- Qualifications : PhD (7-8 yrs) / Master’s ( 9 yrs) / Bachelor’s (10 yrs+) preferably in Computer Science
- Proven experience in architecting AI/ML systems , building machine learning models, and deploying scalable AI/ML solutions to production
- Experience in building AI agents using RAG architectures and LLM orchestration frameworks
- Hands-on exposure to AI engineering, LangGraph, RAG, LLM optimization
- Strong hands-on expertise in Python, SQL, and the AI/ML stack
- Experience with large-scale data handling and cloud-based platforms (e.g., GCP, Azure)
- Excellent problem-solving, communication, and collaboration skills, with a strong sense of ownership and delivery focus
- Strong stakeholder-management skills, with the ability to work closely with both technical and non-technical partners.
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s 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.
Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our [Bangalore/Chennai] office for daily work, with the flexibility for associates to manage their 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 is—and feels—included, 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, we’re 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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field.Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Primary Location...Block- 1, Prestige Tech Pacific Park, Kadubeesanahalli Village, Varthur Hobli , IndiaSkills Required
- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 4 years of analytics-related experience
- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 2 years of analytics-related experience
- Six years of experience in an analytics or related field
- Experience architecting AI and machine learning systems, building models, and deploying scalable solutions to production
- Experience building AI agents using RAG architectures and LLM orchestration frameworks
- Hands-on experience with AI engineering, LangGraph, RAG, and LLM optimization
- Strong hands-on expertise in Python, SQL, and the AI/ML stack
- Experience handling large-scale data and using cloud platforms such as GCP or Azure
- Strong problem-solving, communication, collaboration, and stakeholder-management skills
- PhD with 7–8 years, master's degree with 9 years, or bachelor's degree with 10+ years of experience, preferably in Computer Science
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.
