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AI-Native Test Engineer (6-Level)

The competency architecture for test engineers and SDETs in AI-native organizations

This architecture evaluates test engineers and SDETs across 8 dimensions and 6 levels (T1 through T6). It covers AI-augmented testing (using AI to generate and analyze tests), testing AI systems (validating models, agents, and prompts), test automation engineering, and quality architecture. Leaders use it to set clear expectations at each level, run calibrated assessments, and build development plans for quality engineering teams.

8 Dimensions

Select a dimension to explore the progression across levels.

Test Strategy & Risk Analysis

Designing risk-based test strategies, prioritizing coverage, and making authoritative quality trade-offs.

T1Test Engineer I

Follows existing test plans and understands what each test validates, escalating gaps when coverage seems insufficient.

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Want the full framework with all expectations and examples?

The complete assessment tool includes 3 detailed expectations and 3-4 real-world examples per level per dimension, plus guided evaluation, growth plans, and team analytics.

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