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Tech Lead – Asset Reuse Team; ART
Remote / Online - Candidates ideally in
2490, Den Haag, Netherlands
Listed on 2026-06-06
2490, Den Haag, Netherlands
Listing for:
NN Personeel B.V.
Full Time, Remote/Work from Home
position Listed on 2026-06-06
Job specializations:
-
Engineering
AI Engineer, Systems Engineer, Software Engineer -
IT/Tech
AI Engineer, Systems Engineer
Job Description & How to Apply Below
Are you passionate about defining technical vision and engineering standards for Generative AI solutions? Join our AI Center of Excellence at Nationale Nederlanden (NN), where we lead the development of reusable AI assets, collaborate across business units, and drive strategic innovation. As a Tech Lead in the Asset Reuse Team (ART), you will play a pivotal role in shaping the architecture, design and quality of AI components published in the NN AI asset marketplace.
Key Responsibilities- Define and maintain engineering standards for reusable Generative AI components
- Lead technical design and architecture for the NN AI asset marketplace
- Oversee build quality, code reviews, and technical documentation
- Guide engineering teams in implementing scalable and secure AI solutions
- Collaborate with asset squads and local data scientists to promote reuse and innovation
- Support forward deployment engineers and cross‑hopping engineers in local delivery teams
- Salary between €5,765 and €8,236 based on 36 hours per week, depending on your knowledge and experience
- 13th month and holiday allowance are paid with your monthly salary
- 27 vacation days for a 5‑day working week and one Diversity Day
- A modern pension administered by Be Frank
- Plenty of training and learning opportunities
- NS Business Card 2nd class, which gives you unlimited travel, also privately
- Allowance for setting up home office and for internet use
- Option to claim travel kilometres if traveling with own transport
- Seasoned engineer with a strong background in software architecture, Dev Ops engineering and AI development
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 7+ years of experience in software engineering and technical leadership roles
- Proven experience in defining and implementing engineering standards
- Strong knowledge of Python, CI/CD, cloud infrastructure (Azure), and containerization (Docker, Kubernetes)
- Experience with agentic frameworks and reusable AI components
- Excellent communication and mentoring skills
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