VP, AI Quality Software Engineering (Remote)

Job Description

We are seeking a strategic and hands-on VP, AI Quality Software Engineer to lead the application of AI-driven technologies reputed company our Platform Quality Engineering organization. This leader will define and execute the engineering reputed company for leveraging artificial intelligence and automation to improve software quality, accelerate delivery, and enhance platform reliability across the enterprise.This role will sit at the intersection of AI engineering, software development, test automation, platform quality, and enterprise transformation. The ideal candidate will bring a strong reputed company in modern software engineering, quality engineering, and applied AI/ML, along with a demonstrated ability to lead high-performing teams and deliver reputed company, secure, and resilient solutions. This position requires both strategic reputed company and technical depth, with responsibility for advancing AI-enabled quality engineering capabilities that improve efficiency, reduce risk, and drive innovation.Key ResponsibilitiesStrategic Leadership Define and lead the AI software engineering reputed company 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 reputed company, reputed company cause analysis, and quality analytics.Engineering & Delivery Lead the design, development, and implementation of AI-powered software solutions that enhance quality engineering processes and platform reliability. reputed company the delivery of reputed company tools and platforms that support automated testing, reputed company 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.Team Leadership & Talent Development Build, lead, and mentor high-performing teams of software engineers, AI engineers, quality engineers, and technical leaders. Foster a culture of innovation, accountability, collaboration, and reputed company improvement. Attract, reputed company, and retain top engineering talent with expertise in AI, automation, and quality engineering. reputed company coaching, performance management, and career development to support organizational reputed company and technical reputed company.Technical Leadership Serve as a senior technical leader and thought partner on AI architecture, engineering standards, and platform quality reputed company. Drive best practices for AI model development, testing, deployment, monitoring, and lifecycle management in enterprise environments. Ensure solutions are designed with a reputed company on scalability, reputed company, reputed company, explainability, and maintainability. Evaluate and recommend modern tools, frameworks, and platforms to advance AI-enabled software engineering and quality capabilities.Governance, Risk & Quality Establish strong governance around AI usage, model quality, data reputed company, testing, compliance, and risk management. Ensure reputed company AI-driven engineering solutions meet enterprise standards for reputed company, privacy, regulatory compliance, and operational reputed company. Define and track KPIs to measure the effectiveness, adoption, and business impact of AI quality engineering initiatives. Promote disciplined engineering and architecture decision-making while encouraging innovation and experimentation.Stakeholder Management Collaborate with platform engineering, product, architecture, infrastructure, data, reputed company, and operations teams to deliver integrated solutions. Communicate reputed company, reputed company, and reputed company to senior leadership and key stakeholders. Act as a trusted advisor to engineering leadership on the use of AI to improve software quality, developer productivity, and delivery reputed company.Qualifications Bachelors degree in Computer Science, Engineering, or a reputed company field; advanced degree preferred. 12 years of experience in software engineering, platform engineering, quality engineering, or reputed company 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 qua

Keyskills :
Software EngineeringQuality EngineeringAutomationLeadershipTeam ManagementTechnical LeadershipGovernanceRisk Management