Staff AI Engineer (Data & Intelligence function)

Responsibilities

• Write and ship production AI code daily. You are an active contributor.
• Lead our work on making customer context retrievable at speed, across semantic retrieval, indexing, and knowledge graph approaches over our data platform. An early priority is letting an agent resolve a customer and pull its full context in a single request. Where that work goes from there is partly yours to define.
• Build the inference and signal layer: models and processors that read from our Iceberg-based lakehouse, write scored inference back, and expose signals through contracts other teams can build against.
• Take signals through to action, turning detected conditions such as churn risk, usage and entitlement mismatch, or expansion opportunity into workflows that act, with human review where that is the right design.
• Choose the right tool for each workload: a large model, a small fine-tuned model, or ordinary deterministic code. Managing inference cost is part of the job.
• Own evaluation and observability for our AI systems, so we can show a signal is sound before anyone acts on it.
• Set the patterns other teams build against, and work with engineering and business leaders to turn company goals into shipped systems.
• How We Think About Experience
• We are more interested in how you learn than in the tools already on your CV. Our stack spans Python, SQL and dbt, distributed query engines, durable workflow orchestration, an Iceberg lakehouse on S3, and a changing mix of model providers and agent frameworks. It will look different in a year. We expect you to arrive…
• Required Experience

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