
Group Director, Software Engineering - Applied AI
Required skills
- Machine Learning
- Statistics
- Mathematics
- Data Science
- ML Engineering
- deep learning models
- distributed training frameworks
- foundational models
- generative architectures
- multi-modal dataset
Nice to have
- publication record
- AI/ML conferences
- RecSys
- Generative Recommenders
- sequence-based models
- user behavior representation
Role summary
Walmart is seeking a Group Director for Applied AI & Engineering to lead a team focused on building the company's next-generation intelligence layer. This role involves defining the vision, strategy, and execution for large-scale foundational models trained on massive datasets. These models will power critical consumer-facing and enterprise products across various domains like Search, Personalization, Sponsored Ads, Conversational Commerce, and Supply Chain Forecasting. The position requires strong technical leadership, experience managing data science and ML engineering teams, and a proven track record in deploying deep learning models at scale. Collaboration with product and business leaders is key to ensuring seamless integration and business value.
Position Summary...
What you'll do...
Role summary:As the Group Director, Applied AI & Engineering you will lead an elite, high-caliber applied AI and engineering team dedicated to building Walmart’s next-generation intelligence layer. You will be responsible for the vision, strategy, and execution of large-scale foundational models trained on our massive, multi-modal dataset encompassing billions of customer touch points, transaction histories, search queries etc. Your models will serve as the AI engine powering critical consumer facing and enterprise products across Walmart’s ecosystem, including Search, Personalization, Sponsored Ads, Conversational Commerce, and Supply Chain Forecasting.
About the team:
The AI and Data organization integrates key capabilities to leverage AI and data as strategic assets across Walmart. It develops and manages shared platforms, intelligence, and decision systems that enhance customer experiences, empower associates, and deliver measurable business outcomes. Within this organization, the Retail Intelligence group focuses on creating and deploying scalable AI models and services that efficiently bring advanced AI capabilities to Walmart’s products and operations. The team collaborates closely with stakeholders to drive data strategy, machine learning innovation, and business insights, supporting Walmart’s commitment to operational excellence and continuous improvement.
What you'll do:
- Key Responsibilities Technical Vision & Strategy: Define the multi-year roadmap for Walmart’s Commerce Foundational Models. Drive the paradigm shift from siloed, domain-specific models to unified, multi-task generative architectures
- High-Scale Engineering Leadership: Lead a world-class team of Applied AI Researchers, Machine Learning Engineers, and Data Scientists.
- Horizontal Collaboration & Influence: Partner closely with product, engineering, and business leaders across Search, Ads, Personalization, and Customer Experience to ensure foundational models are seamlessly integrated, delivering massive business value.
- Evangelism & Adoption: Serve as the primary champion for foundational models within Walmart Global Tech.
What you'll bring:
Minimum Qualifications
- Master’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or a highly quantitative field.
- 8+ years of experience directly managing and scaling high-performing data science and ML engineering teams, with at least 3+ years managing managers.
- Proven track record of designing, training, and deploying deep learning models in production at massive scale
- Deep understanding of distributed training frameworks
Preferred Qualifications
- Ph.D. in CS, ML, or related field with a strong publication record in top-tier AI/ML conferences
- Domain Expertise in RecSys and experience building Generative Recommenders, Hierarchical Sequential Transducers(HSTU) or sequence-based models for user behavior representation
- Deep knowledge of low-latency inference optimization techniques, real-time retrieval
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Sunnyvale, California US-11656: The annual salary range for this position is $254,000.00 - $481,000.00
Bentonville, Arkansas US-30003: The annual salary range for this position is $195,000.00 - $370,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 8 years’ experience in software engineering or related area.Option 2: 10 years’ experience in software engineering or related area.
5 years’ supervisory experience.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 6 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...
1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Sample Walmart interview questions
- 1
Design a system for managing a distributed search engine.
system designmedium - 2
Design a system for real-time processing of Walmart transactions.
system designmedium - 3
Implement a platform for managing event sourcing across distributed systems.
system designmedium - 4
Design a real-time inventory service.
system designaverage - 5
Design a scalable, high-traffic e-commerce solution using technologies like Kafka, Redis, and SQL/NoSQL databases.
system designaverage
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