Data and AI Engineer
At a glance
Mid-level AI Engineering role at Philips (Internal Job Postings List For Philips Contingent Workers). Amsterdam · full-time · €61,185–€101,976 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build dependable pipelines that connect information across enterprise systems and cloud platforms
- Shape reusable data models, KPIs and analytical datasets alongside business and data stakeholders
- Create and maintain AI applications, agent workflows and intelligent automation
- Check AI and data results for accuracy and explainability, following privacy, security and governance rules
- Put testing, deployment and monitoring in place, then keep data and AI products improving
What you bring
- A relevant bachelor’s degree and two years of experience, or a relevant master’s degree and one year
- Strong Python and SQL ability, plus practical work with data engineering, APIs, cloud services and AI or LLM solutions
- Hands-on work with graph-based knowledge, semantic methods and data provenance, using Amazon Neptune or a comparable platform
Who this fits
This mid-level role suits someone who can turn business needs into scalable data and AI solutions with cross-functional teams. Office-based work includes at least three in-person days each week in Amsterdam.
From the employer
Job Title
Data and AI EngineerJob Description
We are looking for a Data & AI Engineer to develop, deploy, and support scalable data, analytics, and AI solutions that improve service and commercial workflows across Philips Enterprise Informatics. In this role, you will work closely with business stakeholders, data owners, and platform teams to transform complex data into actionable insights and intelligent applications. You will help automate processes, improve operational efficiency, and enable better decision-making through trusted data and AI-driven solutions.
Your role:
- Design, build, and maintain reliable data pipelines that integrate data from multiple enterprise systems and cloud platforms.
- Develop reusable data models, KPIs, and analytical datasets in collaboration with business and data stakeholders.
- Build and support AI-powered applications, agent workflows, and intelligent automation solutions using modern AI technologies.
- Ensure data and AI outputs are accurate, explainable, and aligned with governance, privacy, and security standards.
- Implement testing, deployment, monitoring, and continuous improvement practices for data and AI products.
- Collaborate with cross-functional teams to translate business needs into scalable technical solutions that deliver measurable impact.
You're the right fit if:
- Experience: Minimum 2 years of experience with a bachelor’s degree in data engineering, Data Analytics, Machine Learning, Artificial Intelligence, Software Engineering, or a related field; or 1 year of experience required with a master’s degree.
- Skills: Strong Python and SQL skills, with experience in data engineering, data modeling, APIs, cloud technologies, and AI/LLM-based solutions. Experience with knowledge graphs, semantic technologies, and provenance modeling, using Amazon Neptune or comparable platforms.
- Education: Bachelor’s or Master’s degree in Computer Science, Information Management, Data Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics, or a related field.
- Additional: Preferred experience with cloud data platforms, large language models (LLMs), agent frameworks, infrastructure as code, and enterprise-scale data and AI deployments. Experience supporting service operations, commercial analytics, customer support, CRM systems, or workflow automation is considered a strong advantage.
Compensation & benefits
Doing meaningful work should come with fair, transparent rewards. The base salary range for this role is € 61,185–€ 101,976. 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 incentive, with your rewards linked to KPIs/company results. We’ll share the full approach with you during the interview process, so you can make a clear, informed decision.
How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
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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