As an AI Senior Systems Engineer, you will help shape the future of Systems Engineering at Philips by driving the application of Artificial Intelligence within Systems Engineering and Reliability, Availability, Maintainability and Safety Engineering (RAMS) practices.
You will identify opportunities where AI can enhance engineering activities, improve engineering productivity, and increase the quality, consistency, and traceability of engineering deliverables throughout the product development lifecycle. Acting as a thought leader and trusted advisor, you will help engineering teams understand, adopt, and effectively apply AI technologies within their daily engineering work.
Working closely with systems engineers, RAMS engineers, architects, software teams, and AI specialists, you will bridge the gap between engineering challenges and emerging AI capabilities. You will contribute to the evolution of engineering methodologies, tools, and best practices that enable the next generation of AI-enabled Systems Engineering and RAMS Engineering at Philips.
Your role:
Drive the adoption of AI within Systems Engineering and RAMS practices across Philips.
Identify, develop, and scale AI use cases for requirements engineering, system architecture, modelling, verification, validation, traceability, and engineering knowledge management.
Identify, develop, and scale AI use cases for RAMS engineering like FMEA, data analysis, HALT/ALT, Modelling Simulation & Analysis, for Hardware and Software
Support engineering teams in evaluating and implementing AI-enabled engineering workflows, methods, and tools.
Coach and educate Systems Engineers, RAMS Engineers, Architects, and technical leaders on the opportunities, limitations, and best practices of applying AI within engineering environments.
Develop methodologies, standards, guidance, and reusable frameworks that enable the effective use of AI in Systems Engineering and RAMS Engineering.
Lead pilot projects and proof-of-concepts that demonstrate measurable engineering and business value.
Collaborate with engineering, software, data science, and AI experts to translate emerging AI capabilities into practical solutions.
Contribute to Philips-wide strategy and roadmap development for AI-enabled Systems Engineering, RAMS, and Digitalization of Innovation.
Foster a community of practice focused on innovation, knowledge sharing, and continuous improvement.
Stay at the forefront of developments in AI, RAMS, Digital Engineering, and Systems Engineering, translating external innovations into practical applications for Philips.
You're the right fit if:
You have extensive experience in Systems Engineering, Systems Architecture, RAMS, or Digital Engineering within complex product development environments.
You have demonstrated experience driving engineering innovation, methodology development, or engineering transformation initiatives.
You have strong knowledge of Systems Engineering and RAMS principles and understand how these are applied in large-scale product development organizations.
You possess a solid understanding of AI technologies such as Generative AI, Large Language Models (LLMs), Agentic AI, Machine Learning, Knowledge Graphs, or related technologies.
You can translate emerging AI capabilities into practical solutions that create measurable value for engineering teams.
You enjoy coaching, educating, and influencing technical stakeholders across multiple disciplines and organizational levels.
You are comfortable working in a cross-functional global environment that brings together engineering, software, data science, quality, and innovation teams.
You hold a Master's degree or PhD in Systems Engineering, Artificial Intelligence, Computer Science, Software Engineering, Electrical Engineering, Mechanical Engineering, or a related technical field.
You are curious, innovative, and energized by exploring new technologies and ways of working.
You combine strategic thinking with a hands-on mindset and enjoy turning concepts into practical, scalable solutions.
You are passionate about helping Philips advance the state of the art in Systems Engineering and RAMS Engineering through the responsible application of Artificial Intelligence.
Compensation & benefits
Doing meaningful work should come with fair, transparent rewards. The base salary range for this role is € 93,049 – € 155,081. We determine pay within the range using objective factors, like the skills the role requires, your relevant experience and the responsibility you'll have in this role, alongside internal equity and local market considerations.
This role is eligible for 6% annual bonus with your rewards linked to KPIs and the company’s performance. We’ll share the full approach with you during the interview process, so you can make a clear, informed decision. Benefits include generous paid leave, paid parental leave, employer pension contributions, health and wellbeing programs and discounts on Philips products. Discuss in more detail with your recruiter.
How we work together
We believe that we are better together than apart. This is an office-based role and this means working at least 3 days per week in the office.
About Philips
Are you ready to do the work of your life to help the lives of others? Learn more about our business, discover our rich and exciting history and learn more about our purpose.
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care.
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Skills Required
- Extensive experience in Systems Engineering, Systems Architecture, RAMS, or Digital Engineering within complex product development environments
- Demonstrated experience driving engineering innovation, methodology development, or engineering transformation initiatives
- Strong knowledge of Systems Engineering and RAMS principles in large-scale product development organizations
- Solid understanding of Generative AI, Large Language Models, Agentic AI, Machine Learning, Knowledge Graphs, or related technologies
- Ability to translate emerging AI capabilities into practical solutions that create measurable value for engineering teams
- Experience coaching, educating, and influencing technical stakeholders across disciplines and organizational levels
- Master's degree or PhD in Systems Engineering, Artificial Intelligence, Computer Science, Software Engineering, Electrical Engineering, Mechanical Engineering, or a related technical field
- Ability to work in a cross-functional global environment involving engineering, software, data science, quality, and innovation teams
- Strategic thinking combined with a hands-on approach to developing practical, scalable solutions
Philips Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Philips and has not been reviewed or approved by Philips.
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Retirement Support — Retirement support is positioned as a standout, including a strong 401(k) match (often described at 7%) alongside pensions in some contexts.
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Flexible Benefits — Flexible benefits are emphasized through choice in health insurance options and a broad “Total Rewards” approach that combines compensation, health and wellness, and work-life support.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous paid time off and policies covering parental leave, caregiving responsibilities, volunteering, and family medical leave.
Philips Insights
What We Do
As a leading health technology company, it is our purpose to improve people’s health and well-being through meaningful innovation. Our goal is to improve 2.5 billion lives per year by 2030. We're always looking for ways to make life better – not only for our customers, but also for everyone working here. That's why we're taking steps to create an environment where we all acknowledge and embrace our differences and uniqueness and listen to and value each other's views. When people feel cared for and listened to, they bring their best qualities to work, leading to better collaboration, communication, innovation and success.
