Head of Software Engineering leading AI-driven enterprise software solutions at Agilent. Overseeing platform development, modernization efforts, and global engineering teams across regions.
Responsibilities
Own end-to-end software engineering for platform components and lab workflow software—spanning instrument control, data pipelines, scientific analysis, and shared services.
Translate enterprise software strategy into scalable delivery plans, engineering standards, and quality metrics.
Partner closely with Product, Architecture, Security, and R&D leaders to ensure tight alignment from roadmap to release.
Drive the transition from legacy, monolithic architectures to modern, composable architecture.
Ensure software portfolio meets high standards of reliability, performance, scalability and user experience.
Operationalize Generative AI and ML tools within the SDLC to improve developer productivity, code quality, and release velocity.
Lead and develop distributed, global engineering teams across regions and product lines.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience
10+ years of progressive engineering leadership with experience in modular architectures for on-prem or cloud-based environments
Proven experience leading large-scale modernization efforts in customer-facing software (e.g., CDS, mass spectrometry software, cell analysis platforms, or similar scientific software)
Deep understanding of modular, distributed architectures across on-prem, hybrid, or cloud environments
Demonstrated success building and scaling high-performing engineering organizations in a matrixed, global setting.
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