[Remote] VP, AI Quality Software Engineering (Remote)

Note: The job is a remote job and is open to candidates in USA. Broadridge is a company committed to empowering others and fostering a collaborative culture. They are seeking a strategic and hands-on VP, AI Quality Software Engineer to lead the integration of AI-driven technologies within their Platform Quality Engineering organization, focusing on improving software quality and enhancing platform reliability across the enterprise.ResponsibilitiesDefine and lead the AI software engineering strategy for the Platform Quality Engineering organizationIdentify opportunities to apply AI, machine learning, and intelligent automation to improve software testing, quality assurance, release confidence, and platform performancePartner with senior engineering and business leaders to align AI quality engineering initiatives with enterprise technology priorities and transformation goalsEstablish a roadmap for AI-enabled quality engineering capabilities, including test intelligence, defect prediction, root cause analysis, and quality analyticsLead the design, development, and implementation of AI-powered software solutions that enhance quality engineering processes and platform reliabilityOversee the delivery of scalable tools and platforms that support automated testing, continuous quality validation, and intelligent engineering insightsDrive the adoption of modern engineering practices across AI development, software delivery, CI/CD, observability, and platform automationEnsure AI solutions are integrated effectively into the SDLC and broader platform engineering ecosystemBuild, lead, and mentor high-performing teams of software engineers, AI engineers, quality engineers, and technical leadersFoster a culture of innovation, accountability, collaboration, and continuous improvementAttract, develop, and retain top engineering talent with expertise in AI, automation, and quality engineeringProvide coaching, performance management, and career development to support organizational growth and technical excellenceServe as a senior technical leader and thought partner on AI architecture, engineering standards, and platform quality strategyDrive best practices for AI model development, testing, deployment, monitoring, and lifecycle management in enterprise environmentsEnsure solutions are designed with a focus on scalability, resilience, security, explainability, and maintainabilityEvaluate and recommend modern tools, frameworks, and platforms to advance AI-enabled software engineering and quality capabilitiesEstablish strong governance around AI usage, model quality, data integrity, testing, compliance, and risk managementEnsure all AI-driven engineering solutions meet enterprise standards for security, privacy, regulatory compliance, and operational excellenceDefine and track KPIs to measure the effectiveness, adoption, and business impact of AI quality engineering initiativesPromote disciplined engineering and architecture decision-making while encouraging innovation and experimentationCollaborate with platform engineering, product, architecture, infrastructure, data, security, and operations teams to deliver integrated solutionsCommunicate strategy, progress, and outcomes to senior leadership and key stakeholdersAct as a trusted advisor to engineering leadership on the use of AI to improve software quality, developer productivity, and delivery outcomesSkillsBachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred12+ years of experience in software engineering, platform engineering, quality engineering, or related technical disciplines5+ years of experience leading large engineering teams and delivering enterprise-scale technology solutionsExperience building and implementing AI/ML-driven solutions in software engineering, testing, automation, or platform environmentsStrong understanding of SDLC, Agile delivery, DevOps, CI/CD, and modern quality engineering practicesDeep knowledge of software architecture, cloud-native development, APIs, distributed systems, and platform scalabilityExperience with test automation frameworks, quality engineering tooling, observability, and engineering analyticsProven ability to influence senior stakeholders and lead cross-functional transformation initiativesExperience applying generative AI, machine learning, NLP, or predictive analytics to software development or quality engineering use casesFamiliarity with MLOps, model governance, and AI lifecycle management in enterprise settingsExperience with cloud platforms such as AWS, Azure, or GCPKnowledge of data engineering, large-scale data platforms, and intelligent automation technologiesFinancial services or highly regulated industry experience is a plusBenefitsBonus EligibleAll Colorado employees receive paid sick leave in compliance with the Colorado Healthy Families and Workplaces Act and other legally required benefits, as applicable.Company OverviewBroadridge is a provider of investor communications and technology solutions for broker dealers, banks, mutual funds and corporate issuers. It was founded in 1962, and is headquartered in New York, New York, USA, with a workforce of 10001+ employees. Its website is http://www.broadridge.com.Company H1B SponsorshipBroadridge has a track record of offering H1B sponsorships, with 8 in 2026, 109 in 2025, 124 in 2024, 83 in 2023, 141 in 2022, 100 in 2021, 73 in 2020. Please note that this does not guarantee sponsorship for this specific role.