Platform Architect - AI
Core
Design, implement, and scale AI-driven solutions including visual similarity search and vector retrieval for automated store display compliance verification.
Role type
Senior Platform Architect (AI/ML)
Builds
Production-ready AI architectures, computer vision pipelines, and vector retrieval systems for retail compliance.
Domain
Retail technology, Computer Vision, Large Language Models (LLM), Vector Search
Deliverable
production ML models
Required skills
Software architecture, Machine learning fundamentals, Deep learning, Cloud platforms (AWS/Azure/GCP), MLOps tools, Python, Vector databases, RAG pipelines, System integration, Technical mentoring
Preferred skills
Production computer vision pipelines, Object detection models (DETR/YOLO), Managed inference services, Open-source model licensing, Multi-signal retrieval design, Cost optimization under constraints
Technologies
PyTorch, TensorFlow, Hugging Face, MLflow, Kubeflow, SageMaker, Pinecone, Roboflow, AWS (SageMaker, EC2 GPU, Bedrock), RF-DETR, DINOv2
Responsibilities
Design end-to-end AI/ML architecture from proof of concept to production, Select technologies and frameworks, Oversee integration with existing systems, Evaluate build vs. buy decisions, Guide MLOps/LLMOps practices, Mentor AI Engineers, Create technical documentation and architecture diagrams, Act as liaison with AI Security function, Define API contracts and quality thresholds for visual similarity search pipelines.
Seniority
Senior, hands-on IC with strategic oversight
