Engineer II - AI Foundations

As an Engineer II on the AI Foundations team, you will play a key role in delivering software products that accelerate enterprise-wide adoption of data and AI. The Cloud AI Foundation team builds scalable data platforms, self-service tools, and measurement capabilities to support continued growth. You will collaborate with Product Managers, User Experience Designers, Architects, and other team members to modernize and build products aligned with the team’s vision and strategy. Engineering efforts leverage multi-cloud platforms, human-centered design, Agile, and DevOps principles to deliver industry-leading solutions at high velocity with unrivaled quality. This role is hybrid, requiring some on-site work at the listed Best Buy location and some virtual work.

Responsibilities

• Deliver code features, system components, and releases
• Ensure quality delivery of features and systems
• Communicate effectively with various business partners both verbally and in writing
• Participate in production support
• Improve knowledge and understanding of core concepts

Requirements

• Bachelor's degree in IT, Computer Science, Engineering, Business, Marketing, or related field OR equivalent combination of education and/or experience
• 2 years of experience in technology, software or product development, technical architecture, or engineering
• 3+ years of hands-on experience with at least one major cloud platform such as GCP, AWS, or Azure
• 1+ years of experience optimizing and right-sizing cloud infrastructure for AI/ML workloads to improve performance, scalability, throughput, and cost efficiency

Preferred Qualifications

• Hands-on experience with cloud-native AI/ML services such as Vertex AI, Amazon SageMaker, or Azure Machine Learning
• Experience deploying, managing, and troubleshooting distributed workloads on Kubernetes
• Experience designing, deploying, and maintaining scalable, high-performance model serving platforms
• Experience building and maintaining CI/CD and MLOps workflows using tools such as GitHub Actions and ArgoCD
• Proficiency with Infrastructure as Code tools such as Terraform and automation using Python
• Familiarity with ML frameworks and optimization technologies such as PyTorch, ONNX, and TensorRT
• Strong communication and collaboration skills with the ability to work effectively across engineering teams and stakeholders
• Relevant cloud or AI certifications, especially within Google Cloud or related platforms

Benefits

• Competitive pay
• Generous employee discount
• Physical and mental well-being support

This is a full-time, hybrid role based in Minneapolis, MN.