Senior AI Engineer, Real-World Data

Benefits

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

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About this role

Senior AI Engineer, Real-World Data US Remote POSITION SUMMARY: Natera is seeking a Senior Agentic AI Engineer to design, build, and productionize intelligent agent workflows that improve the quality, reliability, and efficiency of our Real-World Data (RWD) clinical extraction platform. Our RWD products transform unstructured and semi-structured clinical documents into structured, research- and care-ready datasets that support oncology and broader clinical use cases. This role sits at the intersection of applied AI, software engineering, and healthcare data. You will extend a live production pipeline that powers RWD delivery, adding modular AI capabilities that improve what source material reaches extraction, how accurately values are extracted from clinical text, and how uncertain or low-confidence outputs are flagged or corrected before they enter RWD datasets. You will work with limited day-to-day direction defining technical approach and delivering measurable improvements through careful evaluation and phased rollout. The ideal candidate combines strong hands-on engineering with experience shipping LLM-powered systems in production. This is a senior individual contributor role with high autonomy and end-to-end ownership from design through deployment. PRIMARY RESPONSIBILITIES - Design, build, and deploy agent-based AI systems that improve the quality and reliability of clinical data extraction in production. - Own technical design and delivery for agent workflows. - Integrate new AI capabilities into existing production platforms with attention to performance, scalability, and cost. - Partner with clinical AI, engineering, and product teams to prioritize problems, define success metrics, and ship incremental improvements. - Develop evaluation and monitoring approaches to measure impact, guide iteration,

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