Job Description
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
● Strong 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
