Chapter Lead AI Engineering

About the role

As Chapter Lead AI Engineering, you will own the AI infrastructure and capabilities that power the supply chain platform from pipeline design to production deployment. You will provide technical leadership across Scrum teams, shaping architecture, aligning technical standards, and enabling engineers to build dependable AI systems. This is a hands-on role where you will drive the design and implementation of advanced AI features while ensuring reliability, scalability, and security.

Responsibilities

• Provide technical leadership for the AI engineering chapter and own its technical direction.
• Own MLOps processes and infrastructure to ensure reliable, scalable, and secure AI systems.
• Drive the design and implementation of advanced AI features and data pipelines.
• Set the bar for accuracy, efficiency, and uncertainty estimation through rigorous testing.
• Translate customer needs into technical priorities and represent AI engineering in strategic discussions.
• Establish and evolve engineering standards, tooling, and quality practices.
• Mentor fellow AI engineers through technical feedback, pairing, and knowledge sharing.
• Champion the use of modern AI tools across the chapter.

Required skills

• MLOps
• Machine Learning
• Natural Language Processing
• Computer Vision
• Python
• Azure
• Generative AI
• OCR
• AI Agents
• Data Pipelines
• Leadership
• Management

Nice to have

• Terraform

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, or a related field
• Equivalent practical education

Benefits

• EGYM Wellpass
• BahnCard
• Corporate benefits
• Team events
• Annual offsites

About the Company

VESTIGAS is digitizing the construction industry by building the digital backbone of the construction supply chain. They turn purchase orders, delivery notes, and invoices into a digital, legally compliant platform used by construction companies and suppliers.