Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements.
Who We Are:
Wayfair runs the largest custom e-commerce large parcel network in the United States, approximately 1.6 million square meters of logistics space. The nature of the network is inherently a highly variable ecosystem that requires flexible, reliable, and resilient systems to operate efficiently.
We are looking for an experienced Architect to join our AI Platforms team that is building Wayfair's cutting edge solutions to the complex challenges teams encounter when developing AI applications at scale. The work includes but is not limited to building platforms, frameworks, and services that solve the difficult problems of observability, tool integration, performance optimization, and reliable AI system deployment that teams across the organization face. In a nutshell, you'll be tackling the hard problems that arise when building AI systems in production, creating solutions that enable teams throughout our global platform to focus on innovation rather than infrastructure and integration complexity.
We’re looking for someone who not only enjoys writing code and seeing their ideas come to fruition on a global scale, but is also able to upskill the engineers around them through leading by example. In this role, you will be leading the development of cloud native capabilities to ensure our Data Scientists can focus on model development and delivering cutting edge intelligent solutions.
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
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