Analytics Engineer

• Design, build, and operate LLM-powered applications and services, including agentic workflows, retrieval/RAG systems, and classification pipelines, over catalog, sales, and operational data
• Stand up and maintain MCP servers and tool integrations connecting AI models and assistants to internal data and systems safely and reliably
• Own services end-to-end, including architecture, implementation, deployment, evaluation, and monitoring in the AWS/Databricks environment
• Evaluate emerging AI tooling and patterns, run structured pilots, and lead adoption of effective solutions
• Raise the team's AI engineering capability through working sessions, internal demos, pair programming with scientists, and internal tools that accelerate AI usage

Senior AI Solutions Engineer, Data Science

• Design, build, and operate LLM-powered applications and services, including agentic workflows, retrieval/RAG systems, and classification pipelines
• Build systems over catalog, sales, and operational data
• Stand up and maintain MCP servers and tool integrations connecting AI models and assistants to internal data and systems safely and reliably
• Own services end-to-end, including architecture, implementation, deployment, evaluation, and monitoring in AWS/Databricks
• Evaluate emerging AI tooling and patterns, run structured pilots, and lead adoption of effective solutions
• Raise the team's AI engineering capability through working sessions, internal demos, pairing with scientists, and internal tools