Senior Platform Architect - AI/ML Cloud-Native

Walmart Inc.; Hoboken (NJ); Hybrid; USD 132,000 - 264,000; Full time

Benefits offered by this job

Live Better U

401(k) matching

Stock purchase plans

Paid time off

Job summary

Walmart connects teams lead the design and delivery of scalable platform capabilities, focusing on cloud-native architectures and AI-driven solutions for millions of users. You will guide the full software lifecycle with a focus on quality, reliability, and operational excellence.

Ideal candidates bring senior platform engineering leadership, hands-on AI/ML integration, and strong mentorship, collaborating across teams to translate business needs into solid technical roadmaps within a hybrid,

Qualifications

• Bachelor's degree in computer science, computer engineering, or related field.
• 5+ years or 7+ years of software engineering experience, as described in the posting.
• Experience with cloud-native architectures and scalable platforms.
• Background in AI/ML integration and intelligent software systems.

Responsibilities

• Lead platform engineering efforts delivering scalable infrastructure and cloud-native architectures aligned with roadmaps.
• Build and deploy scalable, production-grade Agentic AI solutions to automate workflows.
• Architect and integrate AI/ML enabled applications for millions of users.
• Provide technical leadership, mentorship, and promote engineering excellence.
• Collaborate with stakeholders to define technical requirements and success metrics.
• Drive continuous improvement of processes, tools, and product performance.

Skills

Platform engineering leadership

Cloud-native architectures

Agentic AI solutions

AI/ML integration

Mentorship

Stakeholder collaboration

Education

Bachelor's degree in CS/CE/related

Master's degree in CS/CE (preferred)

Tools

Python

Java

C++

Job description

Walmart connects teams lead the design and delivery of scalable platform capabilities, focusing on cloud-native architectures and AI-driven solutions for millions of users. You will guide the full software lifecycle with a focus on quality, reliability, and operational excellence.

Ideal candidates bring senior platform engineering leadership, hands-on AI/ML integration, and strong mentorship, collaborating across teams to translate business needs into solid technical roadmaps within a hybrid,