Architect, Ai Platforms

**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’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
- Develop end to end AI solutions that can power the full range of AI initiatives at Wayfair
- 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**:

- 10+ years of experience in software engineering and designing systems at scale
- 4+ 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

**About Wayfair Inc.**

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair - and world - for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.