AI Platforms Expert

3 days ago

Bengaluru, Karnataka, India beBeeArchitect Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
AI Platform Architect

We seek an experienced architect to build cutting-edge solutions for complex AI challenges at scale.

The work involves designing platforms, frameworks, and services to solve difficult problems of observability, tool integration, performance optimization, and reliable AI system deployment.

You will tackle hard problems that arise when building AI systems in production, creating solutions that enable teams to focus on innovation rather than infrastructure complexity.

Key Responsibilities:

  • Own the delivery of AI platforms from design and architecture to production.
  • Design scalable systems using Python, Go, Kubernetes, GCP, Airflow, and other technologies to support AI workloads.
  • Drive the development of Wayfair's next-generation AI capabilities.
  • Champion open source solutions and Google Cloud native technologies for AI use cases.
  • Develop end-to-end AI solutions for various initiatives at Wayfair.
  • Partner with product leaders to understand technical pain points for data scientists and translate them into clear platform solutions.
  • Advise engineering and product management on AI platform technical roadmap, ensuring alignment with company objectives.

About You:

  • 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.

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