Lead Architect, AI Quality and Reliability Engineering

Vizient, Inc.; Edina (MN); On-site; USD 135,000 - 237,000; Full time

Benefits offered by this job

Incentive eligible

Comprehensive benefits

Equal opportunity employer

Job summary

Vizient, Inc. is seeking a senior Quality Engineer to lead QA and product validation for an AI-enabled healthcare analytics platform that integrates EHR, ERP, and other health system data.

You will guide data pipelines, ontologies, metrics, APIs, analytics, and AI workflows with scalable validation frameworks and test automation. You will collaborate with Product, Software, Data, and AI teams to translate requirements into acceptance criteria, drive complex issues, and establish shift-left

Qualifications

• Relevant degree preferred.
• 7+ years of relevant experience required.
• Strong hands-on programming and automation skills (Python/Java/TypeScript).
• Experience validating data pipelines, ETL/ELT, APIs, and metrics with SQL.
• Experience CI/CD integration of automated testing and quality gates.
• Experience evaluating AI-enabled apps using LLM eval and grounding validation.

Responsibilities

• Lead the end-to-end Quality Engineering and product validation strategy across data pipelines, ontologies, metrics, APIs, analytics, AI capabilities, and user-facing workflows.
• Design and implement scalable automated validation frameworks for data ingestion, transformations, ontology mappings, business rules, metric calculations, APIs, application workflows, and AI-generated outputs.
• Establish data quality and reconciliation capabilities that validate completeness, accuracy, consistency, source-to-target mappings, lineage, and transformation logic across EHR, ERP, and other healthcare data sources.
• Develop validation strategies for ontologies and operational metrics to ensure concepts, mappings, calculations, aggregations, and analytical outputs remain accurate and consistent as the product evolves.
• Lead quality engineering for AI-enabled capabilities, including LLM evaluation, prompt and workflow testing, grounding and factuality validation, regression testing, agentic workflows, and human-in-the-loop evaluation.

Skills

Python

Java

TypeScript/JS

SQL

Automation

CI/CD

Education

Bachelor's degree preferred

Tools

Palantir Foundry

Palantir AIP

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary:

In this role, you will lead Quality Engineering and product validation for an AI-enabled healthcare operations analytics product that integrates EHR, ERP, and other health system data to deliver standardized ontologies, operational metrics, analytics, and AI-powered workflows. You will serve as a hands‑on technical leader, ensuring accuracy, reliability, traceability, and usability across the product lifecycle, from data acquisition and transformation through ontology and metric computation to analytics, AI-generated insights, and end‑user workflows. You will establish scalable automation, validation frameworks, and quality engineering practices for solutions built on Palantir Foundry and AIP.

Responsibilities:

• Lead the end-to-end Quality Engineering and product validation strategy across data pipelines, ontologies, metrics, APIs, analytics, AI capabilities, and user-facing workflows.
• Design and implement scalable automated validation frameworks for data ingestion, transformations, ontology mappings, business rules, metric calculations, APIs, application workflows, and AI-generated outputs.
• Establish data quality and reconciliation capabilities that validate completeness, accuracy, consistency, source-to-target mappings, lineage, and transformation logic across EHR, ERP, and other healthcare data sources.
• Develop validation strategies for ontologies and operational metrics to ensure concepts, mappings, calculations, aggregations, and analytical outputs remain accurate and consistent as the product evolves.
• Lead quality engineering for AI-enabled capabilities, including LLM evaluation, prompt and workflow testing, grounding and factuality validation, regression testing, agentic workflows, and human-in-the-loop evaluation.
• Build reusable test harnesses, representative datasets, automated regression suites, quality gates, and observability capabilities that enable teams to deliver solutions with confidence.
• Partner with Product, Software Engineering, Data Engineering, AI Engineering, and healthcare domain experts to translate product requirements into measurable acceptance criteria and drive complex quality issues through root cause analysis and resolution.
• Advance a shift-left quality culture by mentoring engineers and establishing practices for testability, automation, data quality, reliability, and AI quality while remaining hands‑on with critical product validation capabilities.

Qualifications:

• Relevant degree preferred.
• 7 or more years of relevant experience required.
• Strong hands‑on programming and automation skills using Python, Java, TypeScript/JavaScript, or similar languages, including experience building test frameworks, validation services, or engineering tooling.
• Experience validating complex data pipelines, ETL/ELT processes, transformations, analytical datasets, APIs, business rules, and calculated metrics, with strong SQL and data analysis skills.
• Experience designing automated data quality, reconciliation, source-to-target validation, regression testing, and end-to-end product validation approaches.
• Experience testing modern data-intensive and full-stack applications and integrating automated testing and quality gates into CI/CD pipelines.
• Experience evaluating AI-enabled applications using approaches such as LLM evaluation, prompt testing, RAG or grounding validation, and agentic workflow testing.
• Experience with observability, telemetry, monitoring, cloud platforms, and modern DevSecOps practices.
• Experience with Palantir Foundry/AIP or comparable enterprise data and AI platforms preferred.
• Strong ownership, technical leadership, problem-solving, and collaboration skills, with the ability to operate effectively in ambiguity and influence cross-functional teams.

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $135,200.00 to $236,600.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.