AVP, AI Quality & Reliability Engineering at Vizient
Edina, MN
$156,500–$290,100from the description
Jun 28, 2026
Edina, MN
Jul 21, 2026
What this job asks for AI summary
An executive-level role responsible for building and leading enterprise AI Quality Engineering across a healthcare-focused organization. The work centers on establishing validation frameworks, synthetic data platforms, simulation environments (including hospital twin capabilities), and runtime quality practices for AI-powered systems such as LLM workflows and agentic applications. The position requires cross-functional collaboration with clinical, governance, security, and engineering teams to ensure compliant, reliable AI deployment at scale.
Principal level · National · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
What the occupation pays Median $175,140 (middle half $138,060–$220,730). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The posting is for a career-framework level of 'Associate VP (E1)' — an executive people-management role with direct oversight of quality engineering leaders, managers, engineers, analysts, and contractor teams, as well as organizational planning, vendor coordination, and portfolio governance. This maps most naturally to 11-3021 (Computer and Information Systems Managers) rather than an IC QA/testing SOC, though the role retains deep hands-on technical scope in AI quality engineering.
No specific location is stated in the posting; the CBSA and state fields are left blank. The role may be remote or hybrid but this is not explicitly stated — remote is set to false as a conservative default.
No minimum years of experience or degree requirement is explicitly stated in the posting.
The skills listed are inferred from the role's described responsibilities and focus areas (LLMs, AI test automation, synthetic data, observability, LLMOps, AIOps, prompt testing, runtime monitoring, simulation-driven testing). The JD does not have a discrete 'Required Skills' section; skills marked as required reflect capabilities that are central to the role's stated mission rather than a formal gating list.
The role is incentive-eligible in addition to the stated base salary range of $156,500–$290,100.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI test automation.
Read the full posting
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