Engineer II - AI Foundations

Best Buy•Richfield, MN

1d•Hybrid

About The Position

As an Engineer II, you will play a key role in delivering software products for Best Buy’s AI Foundation team. The Cloud AI Foundation team accelerates enterprise-wide adoption of data and AI by delivering scalable data platforms, self-service tools, and measurement capabilities that support continued growth. You will work with Product Managers, User Experience Designers, Architects and other team members to modernize and build products that align to the product’s team vision and strategy. The engineering of these products will leverage multi-cloud platforms, human centered design, Agile and DevOps principles to deliver industry leading solutions at high velocity with unrivaled quality. You will work on a team of talented software engineering professionals, leading by example, and mentoring others. This role is hybrid, which means you will be required to work some days on-site at the Best Buy location listed on this posting and some days virtually from home or another non-Best Buy location. The specific work arrangements vary by role and team. The recruiter or hiring manager will provide more details during the hiring process.

Requirements

Bachelor's degree in IT, Computer Science, Engineering, Business, Marketing or related field OR equivalent combination of education and/or experiences
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

Nice To Haves

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

Responsibilities

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