Staff Product Development Engineer, Enterprise

Agilent Technologies is a global leader in laboratory and clinical technologies, committed to quality and innovation. They are seeking a highly motivated Product Development Engineer to operate at the enterprise level, focusing on systems engineering and cross-business enablement to drive innovation across product lines.

Responsibilities:

• Contribute to acceleration of the Product Lifecycle (PLC) by applying and reinforcing enterprise systems engineering best practices across business units
• Partner with engineering teams and leaders within each business unit to understand product strategies, development challenges, and execution bottlenecks
• Support adoption of standardized lifecycle frameworks, requirements practices, and V&V approaches while preserving necessary product-specific flexibility
• Act as an enterprise systems engineer, participating in architectural reviews and design decisions across product lines
• Support modular architecture adoption through requirements reuse, interface definition, and verification evidence leverage
• Assist in analyzing existing architectures and modules to identify reuse, simplification, or redesign opportunities that improve quality, reduce cost, and ease design transfer to manufacturing
• Collaborate with engineering and digital teams to pilot AI-enabled process improvements across product development (e.g., requirements reuse, V&V evidence mining, design insights)
• Help ignite innovation by sharing best practices, emerging technologies, and systems thinking across engineering communities

Requirements:

• Bachelor of Science in engineering discipline
• Minimum of 8 years of experience in systems, product, or architecture engineering roles within complex product development environments
• Demonstrated experience applying systems engineering principles across multiple product domains
• Strong systems thinking and problem-solving capability
• Ability to collaborate and influence without direct authority
• Technical credibility with hardware, software, and systems teams
• Communication skills enabling effective engagement with engineers and leaders
• Curiosity and openness to applying AI and automation to engineering workflows
• Master's degree preferred
• Exposure to enterprise or cross-program architecture reviews is a plus