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AI Reliability Manager

United States of America, Eagan, Minnesota💼 Full-time🗓 2026-09-11 → 2026-09-26

Core

Ensure the accuracy, trustworthiness, and continuous improvement of agentic AI capabilities in an investigative platform for law enforcement and financial crimes compliance.

Role type

Senior individual contributor AI reliability manager

Builds

Evaluation data, quality signals, and release readiness assessments for agentic AI systems

Domain

AI safety and reliability in investigative/fraud detection software

Deliverable

production ML models | dashboards & analysis

Required skills

Analytical rigor, pattern recognition in AI output, evaluation of open-ended work, hands-on generative AI tool usage, technical writing

Preferred skills

Domain knowledge in law enforcement/criminal investigations or AML/BSA, understanding of retrieval-based AI failure modes (hallucination, citation mismatch)

Responsibilities

Own and extend gold datasets and scoring rubrics for AI evaluation, execute evaluation cycles and analyze failure patterns, validate AI features prior to release, manage engineering tickets for AI output issues, partner with product and engineering to translate findings into roadmap decisions

Seniority

Senior, hands-on IC

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