Software Engineer 3 - AI Platforms & Retail Systems

Overview

The Staff Software Engineer designs, builds, and deploys production-grade AI and software systems that support retail store operations, associate productivity, and customer experience.

This role operates at the intersection of software engineering, data, and AI, partnering with Product and Business teams to translate requirements into scalable, reliable, and high-impact solutions, working to achieve operational targets with significant impact on departmental results.

This position reports into our Store Support Office in Phoenix, AZ. Hybrid schedule, in office Tuesday - Thursday. 

Overview of Responsibilities

AI Solution Development

• Design, build, and deploy AI/ML and Generative AI solutions
• Translate business problems into scalable technical implementations
• Build reusable components:
• APIs
• AI services
• Modular frameworks
• Develop POCs and prototypes to validate new approaches

Model Engineering & MLOps

• Implement MLOps best practices:
• CI/CD for models
• Monitoring and retraining
• Versioning
• Build pipelines for:
• Training
• Evaluation
• Deployment
• Monitor:
• Model performance
• Drift
• Reliability

Data & Platform Integration

• Integrate AI services into enterprise systems and workflows
• Partner with data teams to ensure high-quality data pipelines
• Optimize systems for:
• Performance
• Scalability
• Cost
• Implement:
• RAG architectures
• Vector database integrations

Product & Business Partnership

• Partner with Product and Business teams to:
• Understand requirements,  
• Refine problem statements
• Deliver effective solutions, explaining and ensuring understanding of facts, policies and practices.  
• Ensure solutions align with:
• Business goals
• Customer needs
• Operational constraints

Production Support & Operational Excellence (Build + Run)

• Build systems that are production-ready and supportable, if necessary, conduct detailed analysis, investigation and modify processes to solve problems.
• Participate in:
• Incident management
• Root cause analysis
• System improvements
• Ensure strong:
• Logging
• Monitoring
• Observability

Engineering Excellence

• Follow best practices in:
• Code quality
• Testing
• DevOps
• Contribute to:
• Design reviews
• Engineering standards
• Documentation

Qualifications

Knowledge Skills & Abilities

• 8+ years of experience in software engineering or  2 years in AI/ML
• Strong proficiency in:
  • Python
  • ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Experience with:
  • Cloud platforms (AWS, Azure, GCP)
  • APIs and distributed systems
  • Data pipelines

Preferred Qualifications

• Experience with:
• MLOps tools (MLflow, Kubeflow, SageMaker)
• LLMs / GenAI / NLP
• Real-time inference systems

Core Competencies

• Communication
• Customer Focus
• Driving for Results
• Positive Approach

Benefits

In addition to a rewarding career, Sprouts offers a comprehensive program to help support you and your family. These programs include:

Why Sprouts

Grow with us!

If you have a passion for inspiring people and a flair for fresh food, consider applying for a job at Sprouts! With a focus on customer service, our neighborhood grocery stores offer high-quality, farm fresh produce, natural meats, plenty of scoop-your-own bulk goods and much more in a fun, friendly, old-fashioned farmer’s market setting.  Come grow your career in healthy living with a fast-paced, rapidly growing company and teams that pride themselves on empowering others along their journey.

The above statements are intended to describe the general nature and level of the work being performed by people assigned to this work. This is not an exhaustive list of all duties, responsibilities, and requirements. Sprouts’ management reserves the right to amend and change duties, responsibilities, and requirements to meet business and organizational needs as necessary.

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