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Software Engineer III; Enterprise AI & SAP Integrations

Job in Bentonville, Benton County, Arkansas, 72712, USA
Listing for: Walmart
Full Time position
Listed on 2026-08-31
Job specializations:
  • Software Development
    Backend Developer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 90000 - 180000 USD Yearly USD 90000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Software Engineer III (Enterprise AI & SAP Integrations)

What you'll do...

Position: Software Engineer III (Enterprise AI & SAP Integrations)

Job Location: 811 Excellence Dr., Bentonville, AR 72716

Duties: Requirement And Scoping Analysis:
Requires knowledge of:
Traceability matrix;
Risk analysis methodologies;
Cost analysis;
Business objectives;
Classification of requirements;
User stories; AI-assisted enterprise process modernization; semantic retrieval workflows; SAP system integration and API consumption mapping; distributed business transaction flows; full-stack application architecture planning; intelligent orchestration strategies. To 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. Requires knowledge of: AI-assisted orchestration patterns; semantic retrieval integration; enterprise workflow intelligence; SAP OData and REST API integration and consumption; SAP system connectivity and middleware integration patterns; distributed service communication; reusable domain-driven component systems; full-stack application development using modern frontend frameworks and backend service architectures;

RESTful and GraphQL API design and implementation; server-side rendering and client-side state management; telemetry-driven engineering; enterprise compliance controls; asynchronous integration patterns. To 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. Requires knowledge of:
Workflow validation methodologies; enterprise integration testing; AI-assisted operational validation; SAP integration and transaction consistency verification; full-stack end-to-end testing strategies; frontend unit and component testing; backend API contract and service reliability testing; TDD methodologies; regression strategies; root cause diagnostics. To 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. Requires knowledge of:
Distributed defect lifecycle management; enterprise telemetry diagnostics; workflow anomaly analysis; SAP integration and API connectivity troubleshooting; full-stack debugging across frontend, backend, and integration tiers; integration bottleneck analysis; state synchronization debugging; client-side and server-side performance profiling; service resiliency optimization.

Minimum education and experience required: 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.

Skills Required: Must have experience with: AI-Assisted Enterprise Workflow Orchestration;
Semantic Retrieval and Contextual Recommendation Systems; LLM-Enabled Operational Workflow Integration;
Intelligent Transaction-Routing Platforms;
Predictive Operational Optimization…

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