Tech Lead - Asset Reuse Team (ART)

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. What you are going to do

You will be responsible for setting the technical direction and ensuring engineering excellence across reusable AI assets. Your work will span from defining standards to guiding implementation, ensuring scalability, security, and performance. You will collaborate with product managers, (Gen)AI engineers, and business stakeholders to translate needs into robust AI components.

Key responsibilities include:

• 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

You are a seasoned engineer with a strong background in software architecture, DevOps engineering and AI development. You thrive in a dynamic environment and enjoy mentoring others. Your leadership and communication skills help you drive technical excellence and foster collaboration., * 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
• A strong preference for candidates who are active public speakers, keynote speakers, or AI thought leaders with experience presenting Generative AI topics at conferences, events, or internal communities