Senior AI Platforms Engineer – Retail & MLOps

Sprouts Healthy Communities Foundation; Arizona; Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive pay

401(K) Retirement savings plan with a*

Company paid life insurance

DailyPay

Employee Assistance Program (EAP)

15% discount for you and one family

Job summary

Sprouts Healthy Communities Foundation is seeking a Staff Software Engineer to design, build, and deploy production-grade AI and software systems that enhance retail store operations, associate productivity, and customer experience. You will join a role bridging software engineering, data, and AI, collaborating with Product and Business teams to translate requirements into scalable, reliable solutions.

Based in Phoenix, AZ, with a hybrid in-office schedule Tuesday–Thursday, you will drive AI

Qualifications

• 8+ years in software engineering or 2+ years in AI/ML.
• Strong Python proficiency and ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Experience with cloud platforms, APIs and distributed systems, data pipelines.

Responsibilities

• Design, build, and deploy AI/ML and Generative AI solutions.
• Translate business problems into scalable technical implementations.
• Build reusable APIs and AI services; prototypes to validate approaches.
• Implement MLOps: CI/CD for models, monitoring, versioning, retraining.
• Develop pipelines for training, evaluation, and deployment; monitor performance and drift.
• Partner with product and business teams to align with goals and constraints.

Skills

Python

ML frameworks

Cloud platforms

APIs

Data pipelines

Distributed systems

Communication

Tools

MLflow

Kubeflow

SageMaker

Job description

Sprouts Healthy Communities Foundation is seeking a Staff Software Engineer to design, build, and deploy production-grade AI and software systems that enhance retail store operations, associate productivity, and customer experience. You will join a role bridging software engineering, data, and AI, collaborating with Product and Business teams to translate requirements into scalable, reliable solutions.

Based in Phoenix, AZ, with a hybrid in-office schedule Tuesday–Thursday, you will drive AI