Walmart Global Tech is looking to transform the way developers plan, code, test, and ship software by embedding AI directly into the developer journey, to elevate engineering velocity and quality.
Requirements
- Deep expertise in applying AI, and program analysis to enhance software development workflows.
- Experience building ML- or LLM-powered developer tools, code intelligence systems, or agentic development workflows.
- Proven ability to architect enterprise-scale AI systems that automate or accelerate engineering tasks.
- Strong programming and systems engineering skills (e.g., Python, Java, Go), with hands-on experience in CI/CD, cloud platforms, and developer tooling.
- Ability to influence and align technical strategy across multiple organizations and drive adoption of new AI-powered capabilities.
- Experience with Large Language Model (LLM) integration and predictive feedback systems.
- Knowledge of accessibility best practices and experience with implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards
Responsibilities
- Architect AI-powered systems that analyze code, surface insights, and automate high-friction engineering tasks.
- Integrate LLMs, agentic workflows, and program analysis directly into the SDLC to improve code quality, reliability, and velocity.
- Build adaptive, self-improving workflows using telemetry, developer behavior signals, and continuous feedback loops.
- Define and drive technical strategy for applied ML across Developer Experience, influencing standards, governance, architecture, and platform direction.
- Partner with product, platform, and research teams to operationalize cutting-edge ML capabilities into scalable enterprise services.
- Mentor senior engineers and serve as a trusted technical authority on intelligent developer tooling across Walmart Global Tech.
- Lead the applied AI strategy for developer experience, leveraging program analysis, Large Language Model (LLM) integration, and predictive feedback systems to create deeply intelligent workflows.
Other
- Bachelor'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.
- 8 years’ experience in software engineering or related area.
- Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area
- Excellent communication and leadership abilities, including mentoring senior engineers and partnering effectively across product, platform, and research teams.
- A builder mindset focused on innovation, measurable outcomes, secure design, and scalable platform delivery.
