VP, AI Quality Software Engineering

Broadridge

VP of AI Quality Software Engineering at Broadridge leading application of AI technologies. Define strategy for leveraging AI to improve software quality and accelerate delivery across the enterprise.

Posted 5/20/2026full-timeRemote • New Jersey, New York • 🇺🇸 United StatesLead💰 $210,000 - $220,000 per yearWebsite

Tech Stack

Tools & technologies

CloudDistributed SystemsSDLC

About the role

Key responsibilities & impact

Define and lead the AI software engineering strategy for the Platform Quality Engineering organization.
Identify opportunities to apply AI, machine learning, and intelligent automation to improve software testing, quality assurance, release confidence, and platform performance.
Partner with senior engineering and business leaders to align AI quality engineering initiatives with enterprise technology priorities and transformation goals.
Establish a roadmap for AI-enabled quality engineering capabilities, including test intelligence, defect prediction, root cause analysis, and quality analytics.
Lead the design, development, and implementation of AI-powered software solutions that enhance quality engineering processes and platform reliability.
Oversee the delivery of scalable tools and platforms that support automated testing, continuous quality validation, and intelligent engineering insights.
Drive the adoption of modern engineering practices across AI development, software delivery, CI/CD, observability, and platform automation.
Ensure AI solutions are integrated effectively into the SDLC and broader platform engineering ecosystem.
Build, lead, and mentor high-performing teams of software engineers, AI engineers, quality engineers, and technical leaders.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree preferred.
12+ years of experience in software engineering, platform engineering, quality engineering, or related technical disciplines.
5+ years of experience leading large engineering teams and delivering enterprise-scale technology solutions.
Experience building and implementing AI/ML-driven solutions in software engineering, testing, automation, or platform environments.
Strong understanding of SDLC, Agile delivery, DevOps, CI/CD, and modern quality engineering practices.
Deep knowledge of software architecture, cloud-native development, APIs, distributed systems, and platform scalability.
Experience with test automation frameworks, quality engineering tooling, observability, and engineering analytics.
Proven ability to influence senior stakeholders and lead cross-functional transformation initiatives.

Benefits

Comp & perks

Comprehensive benefit offerings available at www.broadridgebenefits.com
Paid sick leave in compliance with the Colorado Healthy Families and Workplaces Act

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI software engineeringmachine learningintelligent automationtest intelligencedefect predictionroot cause analysisquality analyticssoftware architecturecloud-native developmentAPIs

Soft Skills

leadershipmentoringinfluencingcollaborationcommunication

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Engineeringadvanced degree preferred