Director of Quality Engineering & AI-Driven Testing

AstraZeneca plc; Boston (MA); On-site; USD 203,000 - 305,000; Full time

Benefits offered by this job

401(k) plan

Paid vacation and holidays

Health benefits

Job summary

Evinova is seeking a hands-on testing leader to consolidate a distributed testing function into a unified, high-performing group. You will own quality engineering across the full product portfolio, drive automation, and set GA-readiness standards across multiple products.

You will build and mentor a Director-level testing leadership layer, define the automation roadmap, integrate AI-assisted testing, and partner with engineering, product, and delivery to accelerate value while maintaining

Qualifications

• 8+ years in quality engineering, software engineering, or product engineering, with at least 3 years leading a quality or testing function at senior level.
• Proven track record building test automation programs from low maturity — not inheriting finished ones.
• Demonstrated ability to consolidate fragmented testing functions across multiple teams, supporting multiple products with competing priorities.
• Knowledge of GxP and requirements traceability in a regulated software environment.
• Hands-on experience with modern test automation frameworks and CI/CD integration — you have done this, not just overseen it.
• Experience defining or operating evaluation frameworks for AI/ML features in production, or building new technical practices from scratch.
• Bachelor’s Degree in Engineering, Computer Science, or equivalent demonstrated through professional experience.

Responsibilities

• Build and consolidate distributed testing teams into a unified function with Director-Level leads.
• Define GA-readiness standards across the portfolio and enforce them across all products.
• Drive automation roadmap and framework/tooling decisions; work in test pipelines and coverage metrics.
• Establish traceability infrastructure under GxP; ensure audit readiness and compliance.
• Define and implement AI evaluation practices for AI-enabled features in release and production.
• Embed AI into testing workflows to improve speed and coverage; model expected quality levels.
• Define and own quality metrics to drive decisions on automation coverage, defect trends, and release quality.
• Partner with engineering, product, quality, and delivery to embed quality earlier in delivery.

Skills

Quality engineering

Testing leadership

Test automation

CI/CD

GxP knowledge

AI/ML testing

Leadership in testing

Education

Bachelor’s Degree in Engineering/Computer Science

Tools

CI/CD pipelines

Automation frameworks

Job description

Evinova is seeking a hands-on testing leader to consolidate a distributed testing function into a unified, high-performing group. You will own quality engineering across the full product portfolio, drive automation, and set GA-readiness standards across multiple products.

You will build and mentor a Director-level testing leadership layer, define the automation roadmap, integrate AI-assisted testing, and partner with engineering, product, and delivery to accelerate value while maintaining