Lead, coach, and develop a team of software engineers and technical leads
Drive delivery across the software development lifecycle, from planning through production support
Set engineering priorities, delivery plans, and measurable outcomes aligned to business goals
Guide architecture, engineering standards, documentation, and solution delivery
Remove roadblocks, manage risk, and support high-quality, on-time execution
Modernize legacy applications, workflows, and integration patterns
Advance reusable platform capabilities, API-first design, automation, and service-based engineering practices
Partner with product, architecture, infrastructure, security, and business teams on technology roadmaps
Improve system reliability, maintainability, observability, and operational readiness
Drive modern engineering practices including Agile, DevSecOps, CI/CD, automated testing, and release governance
Identify and implement AI and intelligent automation opportunities that improve efficiency, user experience, and business outcomes
Follow responsible AI practices across governance, security, privacy, and quality
Lead hiring, talent planning, performance management, and career development
Build a high-performing engineering culture focused on accountability, collaboration, and continuous improvement

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent experience
8+ years of experience in software engineering, systems integration, enterprise application development, or platform engineering
3+ years of experience leading technical teams
Experience designing and delivering scalable, secure, production-grade systems
Strong understanding of software architecture, design patterns, reliability, observability, and support models
Experience with API-driven architectures, enterprise integrations, distributed systems, and backend platforms
Experience leading teams using Agile, DevOps, CI/CD, and automated testing practices
Strong communication and stakeholder management skills
Experience leading or delivering AI-enabled products, intelligent automation, or decision-support capabilities in an enterprise setting
Understanding of responsible AI principles, including privacy, security, governance, and human oversight
Experience in leading teams to deploy/migrate custom applications to cloud Azure

AI & Integration Systems Engineering Manager – HRIS

Key skills