Software Engineer III (Enterprise AI & SAP Integrations)

Walmart • Bentonville, AR

13d • $90,000 - $180,000 • Onsite

About The Position

This role focuses on Software Engineering within Enterprise AI and SAP Integrations. The engineer will be involved in requirement and scoping analysis, designing, developing, and configuring enterprise application components, and creating and executing validation strategies. The position requires a strong understanding of AI-enabled workflows, SAP integration, full-stack development, and distributed systems. The engineer will contribute to modernizing enterprise processes, optimizing workflows, and ensuring the scalability, resiliency, and maintainability of applications.

Requirements

• Bachelor's degree or the equivalent in computer science, computer engineering, computer information systems, software engineering, or related field and 2 years of experience in software engineering or related experience.
• AI-Assisted Enterprise Workflow Orchestration
• Semantic Retrieval and Contextual Recommendation Systems
• LLM-Enabled Operational Workflow Integration
• Intelligent Transaction-Routing Platforms
• Predictive Operational Optimization Frameworks
• SAP OData and REST API Integration and Consumption
• SAP System Connectivity and Enterprise Workflow Integration
• SAP-Integrated Procurement and Operational Process Orchestration
• Full-Stack Application Development using Modern Frontend Frameworks and Backend Service Technologies
• RESTful and GraphQL API Design, Development, and Consumption
• Client-Side State Management and Server-Side Rendering Architectures
• Distributed Frontend Orchestration using Micro-Frontend Architecture
• Enterprise-Scale Component-Driven Application Engineering
• Distributed Service Integration
• Domain-Driven Enterprise Application Architecture
• Stateful Workflow Synchronization Strategies
• Enterprise Middleware and SAP Integration Patterns
• Telemetry-Driven Observability and Operational Diagnostics across Frontend and Backend Tiers
• Enterprise-Grade Workflow Resiliency Engineering
• CI/CD Release Orchestration and Deployment Governance
• Distributed Transaction Reliability and Operational Performance Optimization
• Test-Driven Enterprise Integration Validation including Full-Stack End-to-End Testing
• Scalable Data Persistence and Optimization using MongoDB, PostgreSQL, and MySQL
• Event-Driven Operational Processing and Asynchronous Workflow Coordination

Responsibilities

• Analyze enterprise-scale business, stakeholder, and technical requirements for AI-enabled workflow modernization, SAP-connected integration ecosystems, full-stack distributed application platforms, and scalable frontend/backend service ecosystems.
• Prepare and maintain traceability between business requirements, functional specifications, design models, integration layers, and validation artifacts.
• Contribute to requirement decomposition and workflow orchestration strategies for intelligent automation and enterprise process optimization initiatives.
• Design, develop, and configure enterprise application components focused on AI-enabled operational workflows, intelligent recommendation orchestration, SAP-integrated transaction connectivity, and full-stack distributed application ecosystems spanning responsive frontend interfaces, scalable backend microservices, and API gateway layers.
• Develop integration layers, reusable enterprise modules, orchestration services, and telemetry-enabled delivery mechanisms supporting scalability, resiliency, maintainability, and secure enterprise operations.
• Implement engineering automation strategies for release enablement, observability, and operational governance.
• Create and execute validation strategies for distributed enterprise workflows, SAP-integrated service connectivity layers, intelligent orchestration pipelines, and full-stack frontend and backend transaction systems.
• Validate workflow continuity, transaction integrity, integration reliability, operational resiliency, and enterprise-scale performance requirements across interconnected application modules.
• Troubleshoot distributed defect lifecycle management, enterprise telemetry diagnostics, workflow anomaly analysis, SAP integration and API connectivity, full-stack debugging across frontend, backend, and integration tiers, integration bottleneck analysis, state synchronization debugging, client-side and server-side performance profiling, and service resiliency optimization.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior