AI Architect
Core
Define and own enterprise AI architecture for retail use cases, translating challenges in merchandising, supply chain, and e-commerce into scalable AI blueprints.
Role type
Senior AI Architect (Retail & Open-Source Focus)
Builds
End-to-end AI solutions, reference architectures, and governance standards for GenAI and ML systems in retail environments.
Domain
Retail, E-commerce, Supply Chain, Generative AI
Required skills
AI/ML architecture design, open-source AI/ML stack (Hugging Face, LangChain, LlamaIndex), Python, ML frameworks (PyTorch, TensorFlow), modern data architectures (lakehouse, streaming), AI observability, AI security (prompt injection, adversarial attacks), cloud platforms (AWS, Azure, GCP), AI productivity tools.
Preferred skills
Enterprise AI platform scaling, open-source contributions, AI red-teaming, retail systems familiarity (Manhattan WMS, Salesforce Commerce Cloud), AI certifications.
Technologies
AWS SageMaker, Azure ML, Vertex AI, Databricks, Snowflake, Ray, Feast, Evidently, MLflow, Copilot, Cursor, Claude, Glean, PyTorch, TensorFlow, scikit-learn
Responsibilities
Design reusable patterns for open-source LLM deployment and fine-tuning; establish governance standards for open-source model usage; architect end-to-end AI solutions covering data ingestion to inference; define AI observability frameworks for model monitoring and drift detection; serve as AI security authority defining threat models and secure-by-design practices; lead AI red-teaming and adversarial testing; establish MLOps and AIOps practices including model CI/CD; define standards for Generative AI and LLM usage including multi-RAG and agentic workflows; mandate and model daily use of AI-native productivity tools.
Seniority
Senior, hands-on IC with strategic alignment
