Software Engineer 3 - AI Platform ()

What You’ll do:

● Drive and own the delivery of AI platforms from design and architecture to production

● Leverage your deep knowledge of AI engineering to build Wayfair's next generation AI capabilities

● Design scalable systems using Python, Go, Kubernetes, GCP, Airflow, and other technologies to support AI workloads

● Think outside of the current technology/stack limitations to push the boundaries on what is possible with AI and deliver feasible solutions collaboratively

● Champion open source solutions and Google Cloud native technologies, and their application to our AI use cases

● Develop end to end AI solutions that can power the full range of AI initiatives at Wayfair

● Partner with product leaders to understand technical pain points for data scientists and other

teams building AI applications and translate them into clear and robust platform solutions

● Advise engineering and product management on AI platform technical roadmap, ensuring that the vision aligns with broader company objectives

● Promote a culture of engineering excellence and strengthen the technical expertise of our AI

engineering and product teams

● Keep current on AI engineering technology trends, evaluate, work on proof-of-concept and make recommendations on the technologies based on their merit

Who you are:

● 6+ years of experience in software engineering and designing systems at scale

● 2+ years of experience in Linux-based development, Python/Go development, and leading

engineering teams

● Experience developing AI/ML pipelines, model deployment systems, and orchestrating AI

workloads with Kubernetes

● Robust understanding of containerization, AI system scalability challenges, and software

engineering best practices

● Experience with AI/ML frameworks (TensorFlow, PyTorch) and model serving technologies

● Knowledge of AI system monitoring, performance optimization, and model lifecycle management

● Excellent communication skills with demonstrated experience driving teams and influencing

technical decisions aligned with company AI strategy

● Hands-on experience in high-growth environments at scale, with ability to mentor engineers and collaborate with AI researchers and data scientists

Nice to Have:

● Mix of start-up and large-company experience working on AI solutions

● Familiarity with AI platforms (opensource or offered by Google Cloud) and how to implement

them on a large scale

● Knowledge of vector databases, embedding systems, or real-time AI inference optimization