About the position
Walmart's Enterprise Business Services (EBS) is a powerhouse of seven 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. Joining EBS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart. Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.
Responsibilities
- Own the lifecycle of generative AI initiatives, from ideation to deployment, ensuring robust and scalable production systems.
- Ensure the scalability and reliability of systems by implementing robust CI/CD pipelines, monitoring solutions, and alerting systems.
- Partner with engineers, business, UX and product teams to integrate generative AI capabilities into Headspaces products and services.
- Guide and mentor team members, fostering a culture of technical excellence and continuous learning.
Requirements
- Overall 9+ years of experience in design and development of highly-scalable applications and platform development with 2+ years in Generative AI or LLMs.
- Expertise in Python, Java, Spring and libraries like Hugging Face Transformers.
- Proficiency in distributed computing, cloud platforms (GCP, Azure), and scalable architectures.
- Familiarity with disaster recovery principles and building resilient, fault-tolerant systems.
- Strong understanding of system design, non-functional requirements, and design patterns.
- Skilled at translating complex technical concepts into actionable insights for stakeholders.
- Deep knowledge and experience in building complex, large-scale, mission-critical machine learning applications with microservice architecture in Kubernetes.
- Experience with Generative AI models (e.g., GPT, Gemini).
- Extensible knowledge in using FastAPI, LangChain, LangGraph, Vector Databases (VectorDB), PyTest and retrieval-augmented generation (RAG).
- Experience with common ML model serving frameworks, especially for NLP models/applications.
- Proven programming skills using standard ML tools such as Python, TensorFlow, PyTorch, CUDA, and related frameworks and libraries.
- Highly resourceful and methodical in solution/architecture/API/codebase design and ability to translate product requirements into engineering blueprints.
- Experience developing and maintaining ML engineering processes and best practices, including code reviews, automated testing, performance optimization, and model monitoring.
- Exceptional leadership and interpersonal skills, with the ability to synthesize requirements across multiple domains and influence stakeholders/peer teams for strategic alignment.
- Strong problem-solving and analytical skills, with an ability to approach problems in a logical and systematic manner.
- Expertise in Apache JMeter, Gatling, Locust, Splunk/Open Observe, Grafana, Dynatrace, and APM tools.
- Skills in debugging, monitoring, and optimizing cloud platform infrastructure and services.
- Experience with performance benchmarking for large-scale applications on Kubernetes platforms.
- Knowledge of technologies for building scalable, distributed systems in cloud environments and understanding of performance trade-offs.
- Proficiency in DevOps for troubleshooting and improving applications performance.
- Experience with databases (Relational and NoSQL) and caching solutions.
- Knowledge of technologies used in building scalable, distributed systems in virtualized cloud-like environments and respective performance trade-offs.
- Solid DevOps skills in troubleshooting live applications, assessing performance bottlenecks of applications running on Linux.
- Bachelor's or advanced degree in Computer Science, Engineering, or a related technical field.
Nice-to-haves
- Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area.
- 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.
- Knowledge of accessibility best practices and Walmart's accessibility standards and guidelines for supporting an inclusive culture.
Benefits
- 401(k) match
- Stock purchase plan
- Paid maternity and parental leave
- PTO
- Multiple health plans
- Incentive awards for performance
- Short-term and long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- Live Better U education benefit program
