AI Lead Engineer

Job mission

The AI Lead Engineer in the Data Analytics team is responsible for leading the design, development, and maintenance of scalable and robust AI platform and AI solutions. You will play a pivotal role in operationalizing AI/ML workflows, optimizing infrastructure, and enabling efficient, secure, and reliable AI deployments. This role is crucial for maintaining high availability, scalability, and performance of AI services while collaborating with global teams to ensure cohesive strategy and implementation.

Role and responsibilities

• Mentor 30+ engineers across 6 AI focused teams, lead the design, development, and maintainability through CI/CD of scalable AI/ML workloads across hybrid cloud environments
• Design and implement API’s to securely expose platform services (ex. AI models) and to integrate loosely coupled application components
• Automate infrastructure provisioning using Infrastructure-as-Code (IaC) tools like Terraform or Ansible. Implement testing of automated deployments and observability frameworks (ex. Prometheus, Grafana, or Datadog) for application functionality including monitoring, logging, and tracing
• Coach colleagues (across ASML regions, ex. US, Veldhoven) in developing solutions in line with industry best practices and ‘socialize’ generalized frameworks to standardize development. Responsible for quality reviews, guiding cross sector co-development initiatives and continuous improvement.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering, with a focus on AI/ML.
• Strong expertise in cloud platforms (Azure, Google Cloud, or AWS) and Kubernetes (both SDLC on Kubernetes and Kubernetes core underlying components)
• Experience with GPU-accelerated compute environments and AI-specific tools like NVIDIA Triton, Kubeflow, or MLflow.
• Strong software engineering expertise in MLOps practices and proficiency in scripting (Python, JavaScript, Bash, or equivalent).
• Strong hands-on experience with Infrastructure-as-Code (IaC) frameworks like Terraform 

Other information
The position is based in the Data Analytics department. The AI Lead Engineer works closely with AI Engineers, Other Lead Engineers, Domain architects, and other stakeholders to ensure the successful implementation of AI solutions.